All Stories

  1. Predicting and Optimizing the Influenced Parameters for Culvert Outlet Scouring Utilizing Coupled FLOW 3D-Surrogate Modeling
  2. Spatio-Temporal Analysis of Carbon Sequestration in Different Ecosystems of Iran and Its Relationship with Agricultural Droughts
  3. Application of novel binary optimized machine learning models for monthly streamflow prediction
  4. Prediction of Sediment Yields Using a Data-Driven Radial M5 Tree Model
  5. Discussion of “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence”
  6. Predicting Discharge Coefficient of Triangular Side Orifice Using LSSVM Optimized by Gravity Search Algorithm
  7. Water Quality Prediction of the Yamuna River in India Using Hybrid Neuro-Fuzzy Models
  8. Groundwater level modeling using Augmented Artificial Ecosystem Optimization
  9. Optimization design of quality monitoring network of Urmia plain using genetic algorithm and vulnerability map
  10. Modeling Potential Evapotranspiration by Improved Machine Learning Methods Using Limited Climatic Data
  11. Water Temperature Prediction Using Improved Deep Learning Methods through Reptile Search Algorithm and Weighted Mean of Vectors Optimizer
  12. Random Forest Ensemble-Based Predictions of On-Road Vehicular Emissions and Fuel Consumption in Developing Urban Areas
  13. Predicting nitrate concentration in river using advanced artificial intelligence techniques
  14. Advanced Hybrid Metaheuristic Machine Learning Models Application for Reference Crop Evapotranspiration Prediction
  15. Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data
  16. Prediction of the Discharge Coefficient in Compound Broad-Crested-Weir Gate by Supervised Data Mining Techniques
  17. The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction
  18. Monthly streamflow prediction using hybrid extreme learning machine optimized by Bat algorithm: a case study of Cheliff watershed, Algeria
  19. Approximation of the Discharge Coefficient of Radial Gates Using Metaheuristic Regression Approaches
  20. Monthly Streamflow Prediction by Metaheuristic Regression Approaches Considering Satellite Precipitation Data
  21. Hybridized Adaptive Neuro-Fuzzy Inference System with Metaheuristic Algorithms for Modeling Monthly Pan Evaporation
  22. Application of improved version of multi verse optimizer algorithm for modeling solar radiation
  23. Covariance Matrix Adaptation Evolution Strategy for Improving Machine Learning Approaches in Streamflow Prediction
  24. Improving accuracy of neuro fuzzy and support vector regression for drought modelling using grey wolf optimization
  25. The Effect of Dust Storm on Sea Surface Temperature in the Western Basin of Persian Gulf
  26. Drought forecasting using the Prophet model in a semi-arid climate region of western India
  27. Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling
  28. Predicting Daily Streamflow in a Cold Climate Using a Novel Data Mining Technique: Radial M5 Model Tree
  29. Spatio-Temporal Analysis of Rainfall Dynamics of 120 Years (1901–2020) Using Innovative Trend Methodology: A Case Study of Haryana, India
  30. Comparative evaluation of deep learning and machine learning in modelling pan evaporation using limited inputs
  31. Modeling Multistep Ahead Dissolved Oxygen Concentration Using Improved Support Vector Machines by a Hybrid Metaheuristic Algorithm
  32. Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia
  33. The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction
  34. Bidirectional long short-term memory-based empirical wavelet transform: A new hybrid artificial intelligence model for robust prediction of soil moisture content
  35. Random vector functional link network based on variational mode decomposition for predicting river water turbidity
  36. Improving Drought Modeling Using Hybrid Random Vector Functional Link Methods
  37. Modeling Multi-Objective Pareto-Optimal Reservoir Operation Policies using State-of-the-art Modeling Techniques
  38. Development of new machine learning model for streamflow prediction: case studies in Pakistan
  39. Predicting Water Availability in Water Bodies under the Influence of Precipitation and Water Management Actions Using VAR/VECM/LSTM
  40. Towards a Comprehensive Assessment of Statistical versus Soft Computing Models in Hydrology: Application to Monthly Pan Evaporation Prediction
  41. Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
  42. Advanced machine learning models development for suspended sediment prediction: comparative analysis study
  43. Novel Ensemble Forecasting of Streamflow Using Locally Weighted Learning Algorithm
  44. Suspended Sediment Modeling Using a Heuristic Regression Method Hybridized with Kmeans Clustering
  45. Approaches for Optimizing the Performance of Adaptive Neuro-Fuzzy Inference System and Least-Squares Support Vector Machine in Precipitation Modeling
  46. Groundwater-Potential Mapping Using a Self-Learning Bayesian Network Model: A Comparison among Metaheuristic Algorithms
  47. Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach
  48. Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
  49. Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques
  50. Prediction of Potential Evapotranspiration Using Temperature-Based Heuristic Approaches
  51. A Theoretical Approach for Forecasting Different Types of Drought Simultaneously, Using Entropy Theory and Machine-Learning Methods
  52. Bayesian Model Averaging: A Unique Model Enhancing Forecasting Accuracy for Daily Streamflow Based on Different Antecedent Time Series
  53. Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction
  54. Using the MODIS Sensor for Snow Cover Modeling and the Assessment of Drought Effects on Snow Cover in a Mountainous Area
  55. Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization
  56. Energy Loss in Skimming Flow over Cascade Spillways: Comparison of Artificial Intelligence-Based and Regression Methods
  57. Development of an indirect method for modelling the water footprint of electricity using wavelet transform coupled with the random forest model
  58. Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data
  59. Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method
  60. A minimalistic approach for evapotranspiration estimation using the Prophet model
  61. Comments on “Predicting permeability changes with injecting CO2 in coal seams during CO2 geological sequestration: A comparative study among six SVM-based hybrid models” Science of the Total Environment, 705, 135941 (2020)
  62. Pan Evaporation Estimation in Uttarakhand and Uttar Pradesh States, India: Validity of an Integrative Data Intelligence Model
  63. Improved Water Quality Prediction with Hybrid Wavelet-Genetic Programming Model and Shannon Entropy
  64. Reference Evapotranspiration Modeling Using New Heuristic Methods
  65. Human–Environment Natural Disasters Interconnection in China: A Review
  66. Estimating Soil Available Phosphorus Content through Coupled Wavelet–Data-Driven Models
  67. Combined Use of Graphical and Statistical Approaches for Analyzing Historical Precipitation Changes in the Black Sea Region of Turkey
  68. Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
  69. Comparison of three different bio-inspired algorithms to improve ability of neuro fuzzy approach in prediction of agricultural drought, based on three different indexes
  70. Investigation into the Effects of Climate Change on Reference Evapotranspiration Using the HadCM3 and LARS-WG
  71. On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction
  72. Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs
  73. Daily streamflow prediction using optimally pruned extreme learning machine
  74. Comprehensive assessment of 12 soft computing approaches for modeling reference evapotranspiration in humid locations
  75. Drought forecasting using novel heuristic methods in a semi-arid environment
  76. Novel approaches for air temperature prediction: Comparison of four hybrid evolutionary fuzzy models
  77. The Implementation of a Hybrid Model for Hilly Sub-Watershed Prioritization Using Morphometric Variables: Case Study in India
  78. Long-term modeling of wind speeds using six different heuristic artificial intelligence approaches
  79. Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks
  80. A new wavelet conjunction approach for estimation of relative humidity: wavelet principal component analysis combined with ANN
  81. Quantifying Hourly Suspended Sediment Load Using Data Mining Models: Case Study of a Glacierized Andean Catchment in Chile
  82. Simulation of suspended sediment based on gamma test, heuristic, and regression-based techniques
  83. Stable alluvial channel design using evolutionary neural networks
  84. Stream Flow Forecasting of Poorly Gauged Mountainous Watershed by Least Square Support Vector Machine, Fuzzy Genetic Algorithm and M5 Model Tree Using Climatic Data from Nearby Station
  85. Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm
  86. Evaluation of the support vector machine, random forest and geo-statistical methodologies for predicting long-term air temperature
  87. Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree
  88. Modified Response-Surface Method: New Approach for Modeling Pan Evaporation
  89. Pre-processing data to predict groundwater levels using the fuzzy standardized evapotranspiration and precipitation index (SEPI)
  90. M5 model tree and Monte Carlo simulation for efficient structural reliability analysis
  91. Pan evaporation modeling using four different heuristic approaches
  92. Impurity effect on clear water evaporation: toward modelling wastewater evaporation using ANN, ANFIS-SC and GEP techniques
  93. Daily Mean Streamflow Prediction in Perennial and Non-Perennial Rivers Using Four Data Driven Techniques
  94. Prediction of Ultimate Strain and Strength of FRP-Confined Concrete Cylinders Using Soft Computing Methods
  95. Discussion of “Prediction of Discharge Capacity over Two-Cycle Labyrinth Side Weir Using ANFIS” by M. Cihan Aydin and Korhan Kayisli
  96. Prediction of diffuse photosynthetically active radiation using different soft computing techniques
  97. Modeling soil bulk density through a complete data scanning procedure: Heuristic alternatives
  98. Wavelet-linear genetic programming: A new approach for modeling monthly streamflow
  99. Extreme learning machines: a new approach for modeling dissolved oxygen (DO) concentration with and without water quality variables as predictors
  100. A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping
  101. A new approach for simulating and forecasting the rainfall-runoff process within the next two months
  102. Modeling of air pollutants using least square support vector regression, multivariate adaptive regression spline, and M5 model tree models
  103. Fast convergence optimization model for single and multi-purposes reservoirs using hybrid algorithm
  104. Modeling soil cation exchange capacity using soil parameters: Assessing the heuristic models
  105. Spatial monitoring and zoning water quality of Sistan River in the wet and dry years using GIS and geostatistics
  106. Groundwater quality ranking for drinking purposes, using the entropy method and the spatial autocorrelation index
  107. Evaporation modelling using different machine learning techniques
  108. Impact of climate change on runoff in Lake Urmia basin, Iran
  109. Modeling groundwater fluctuations by three different evolutionary neural network techniques using hydroclimatic data
  110. Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
  111. Pan evaporation modeling using six different heuristic computing methods in different climates of China
  112. Improving Accuracy of River Flow Forecasting Using LSSVR with Gravitational Search Algorithm
  113. Erratum to: A New Approach for Modeling Sediment-Discharge Relationship: Local Weighted Linear Regression
  114. Joint modelling of annual maximum drought severity and corresponding duration
  115. Applicability of Several Soft Computing Approaches in Modeling Oxygen Transfer Efficiency at Baffled Chutes
  116. Discussion of “Estimation of Furrow Irrigation Sediment Loss Using an Artificial Neural Network” by Bradley A. King, David L. Bjorneberg, Thomas J. Trout, Luciano Mateos, Danielle F. Araujo, and Raimundo N. Costa
  117. Strength prediction of rotary brace damper using MLR and MARS
  118. Novel Predictive Model of the Debonding Strength for Masonry Members Retrofitted with FRP
  119. Modelling daily reference evapotranspiration in humid locations of South Korea using local and cross-station data management scenarios
  120. Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq
  121. Trend Analysis of Maximum Hydrologic Drought Variables Using Mann-Kendall and Şen's Innovative Trend Method
  122. A New Approach for Modeling Sediment-Discharge Relationship: Local Weighted Linear Regression
  123. Estimation of dissolved oxygen by using neural networks and neuro fuzzy computing techniques
  124. Prediction of Water-Level in the Urmia Lake Using the Extreme Learning Machine Approach
  125. A nonlinear mathematical modeling of daily pan evaporation based on conjugate gradient method
  126. Evaluating the generalizability of GEP models for estimating reference evapotranspiration in distant humid and arid locations
  127. Discussion of “Monthly Mean Streamflow Prediction Based on Bat Algorithm-Support Vector Machine” by Bing Xing, Rong Gan, Guodong Liu, Zhongfang Liu, Jing Zhang, and Yufeng Ren
  128. Solar radiation prediction using different techniques: model evaluation and comparison
  129. Evaluation of peak and residual conditions of actively confined concrete using neuro-fuzzy and neural computing techniques
  130. Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence
  131. Reply to the comments on “Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey” by Kisi, O. and Ay, M. [J. Hydrol. 513 (2014) 362–375] and “An innovative method for trend analysis of monthl...
  132. Water temperature prediction in a subtropical subalpine lake using soft computing techniques
  133. River Stage Forecasting Using Wavelet Packet Decomposition and Machine Learning Models
  134. Suspended Sediment Modeling Using Neuro-Fuzzy Embedded Fuzzy c-Means Clustering Technique
  135. A nonlinear modelling-based high-order response surface method for predicting monthly pan evaporations
  136. A new approach for modeling suspended sediment: Evolutionary fuzzy approach
  137. Modifying Hargreaves–Samani equation with meteorological variables for estimation of reference evapotranspiration in Turkey
  138. Comparison of six different soft computing methods in modeling evaporation in different climates
  139. Prediction of solar radiation in China using different adaptive neuro-fuzzy methods and M5 model tree
  140. Groundwater budget forecasting, using hybrid wavelet-ANN-GP modelling: a case study of Azarshahr Plain, East Azerbaijan, Iran
  141. Soil temperature modeling at different depths using neuro-fuzzy, neural network, and genetic programming techniques
  142. Modeling reference evapotranspiration using three different heuristic regression approaches
  143. Predicting river daily flow using wavelet-artificial neural networks based on regression analyses in comparison with artificial neural networks and support vector machine models
  144. Evaluation of data driven models for river suspended sediment concentration modeling
  145. Modeling and comparison of hourly photosynthetically active radiation in different ecosystems
  146. Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for forecasting precipitation based on large-scale climate signals
  147. Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution
  148. Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree
  149. Assessment of rainfall aggregation and disaggregation using data-driven models and wavelet decomposition
  150. Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques
  151. Flood Hazard Mapping by Using Geographic Information System and Hydraulic Model: Mert River, Samsun, Turkey
  152. Hydrological Hazards in a Changing Environment: Early Warning, Forecasting, and Impact Assessment
  153. Modeling shear stress distribution in natural small streams by soft computing methods
  154. Damage detection in structural beam elements using hybrid neuro fuzzy systems
  155. A Wavelet and Neuro-fuzzy Conjunction Model to Forecast Air Temperature Variations at Coastal Sites
  156. Short-term and long-term streamflow prediction by using 'wavelet–gene expression' programming approach
  157. A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm
  158. Corrigendum to “An innovative method for trend analysis of monthly pan evaporations” [J. Hydrol. 527 (2015) 1123–1129]
  159. Lake Level Forecasting Using Wavelet-SVR, Wavelet-ANFIS and Wavelet-ARMA Conjunction Models
  160. Discussion of “Comparison of Wavelet-Based ANN and Regression Models for Reservoir Inflow Forecasting” by Krishna Budu
  161. Discussion of “Evapotranspiration Modeling Using Second-Order Neural Networks” by Sirisha Adamala, N. S. Raghuwanshi, Ashok Mishra, and Mukesh K. Tiwari
  162. Applicability of a Fuzzy Genetic System for Crack Diagnosis in Timoshenko Beams
  163. Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree
  164. Independent testing for assessing the calibration of the Hargreaves–Samani equation: New heuristic alternatives for Iran
  165. Discussion of “Improved Particle Swarm Optimization–Based Artificial Neural Network for Rainfall-Runoff Modeling” by Mohsen Asadnia, Lloyd H. C. Chua, X. S. Qin, and Amin Talei
  166. Streamflow Forecasting and Estimation Using Least Square Support Vector Regression and Adaptive Neuro-Fuzzy Embedded Fuzzy c-means Clustering
  167. An investigation on generalization ability of artificial neural networks and M5 model tree in modeling reference evapotranspiration
  168. Extreme Learning Machines: A new approach for prediction of reference evapotranspiration
  169. An innovative method for trend analysis of monthly pan evaporations
  170. Discussion of “Runoff Estimation by Machine Learning Methods and Application to the Euphrates Basin in Turkey” by Abdullah Gokhan Yilmaz and Nitin Muttil
  171. Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data
  172. Predicting daily pan evaporation by soft computing models with limited climatic data
  173. Plunging Flow Depth Estimation in a Stratified Dam Reservoir Using Neuro-Fuzzy Technique
  174. Damage diagnosis in beam-like structures by artificial neural networks
  175. Time series analysis on marine wind-wave characteristics using chaos theory
  176. Closure to “Comparison of Different Empirical Methods for Estimating Daily Reference Evapotranspiration in Mediterranean Climate” by Ozgur Kisi
  177. Discussion of “Comparison of Different Empirical Methods for Estimating Daily Reference Evapotranspiration in Mediterranean Climate” by Ozgur Kisi
  178. Prediction of debonding strength for masonry elements retrofitted with FRP composites using neuro fuzzy and neural network approaches
  179. Prediction of long-term monthly precipitation using several soft computing methods without climatic data
  180. Importance of hybrid models for forecasting of hydrological variable
  181. Modelling solar radiation reached to the Earth using ANFIS, NN-ARX, and empirical models (Case studies: Zahedan and Bojnurd stations)
  182. RETRACTED ARTICLE: Evaluating groundwater level fluctuation by support vector regression and neuro-fuzzy methods: a comparative study
  183. Modelling long-term monthly temperatures by several data-driven methods using geographical inputs
  184. Comparison of Different Data-Driven Approaches for Modeling Lake Level Fluctuations: The Case of Manyas and Tuz Lakes (Turkey)
  185. Daily water level forecasting using wavelet decomposition and artificial intelligence techniques
  186. Prediction of Millers Ferry Dam Reservoir Level in USA Using Artificial Neural Network
  187. Forecasting Sea Water Levels at Mukho Station, South Korea Using Soft Computing Techniques
  188. Estimation of mean monthly air temperatures in Turkey
  189. Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran
  190. Determining Flow Friction Factor in Irrigation Pipes Using Data Mining and Artificial Intelligence Approaches
  191. Corrigendum to “Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review” [J. Hydrol. 514 (2014) 358–377]
  192. Modeling soil temperatures at different depths by using three different neural computing techniques
  193. Discussion of “Simple ET0 Forms of Penman’s Equation without Wind and/or Humidity Data. I: Theoretical Development” by John D. Valiantzas
  194. Investigation of Empirical Mode Decomposition in Forecasting of Hydrological Time Series
  195. Investigation of trend analysis of monthly total precipitation by an innovative method
  196. Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
  197. Discussion of “Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall” by M. R. Mustafa, R. B. Rezaur, S. Saiedi, H. Rahardjo, and M. H. Isa
  198. Determination of Mean Velocity and Discharge in Natural Streams Using Neuro-Fuzzy and Neural Network Approaches
  199. Comparison of Two Different Adaptive Neuro-Fuzzy Inference Systems in Modelling Daily Reference Evapotranspiration
  200. Runoff Estimation by Machine Learning Methods and Application to the Euphrates Basin in Turkey
  201. Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey
  202. Modelling of chemical oxygen demand by using ANNs, ANFIS and k-means clustering techniques
  203. Discussion of “Comparison of Artificial Neural Network Models for Sediment Yield Prediction at Single Gauging Station of Watershed in Eastern India” by Ajai Singh, Mohd Imtiyaz, R. K. Isaac, and D. M. Denis
  204. Modeling solar radiation of Mediterranean region in Turkey by using fuzzy genetic approach
  205. Comparison of Different Empirical Methods for Estimating Daily Reference Evapotranspiration in Mediterranean Climate
  206. Modeling of Suspended Sediment Concentration Carried in Natural Streams Using Fuzzy Genetic Approach
  207. Generalizability of Gene Expression Programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran
  208. Local vs. external training of neuro-fuzzy and neural networks models for estimating reference evapotranspiration assessed through k-fold testing
  209. Modeling of Dissolved Oxygen in River Water Using Artificial Intelligence Techniques
  210. Performance of radial basis and LM-feed forward artificial neural networks for predicting daily watershed runoff
  211. Estimation of Monthly Mean Reference Evapotranspiration in Turkey
  212. Applicability of Mamdani and Sugeno fuzzy genetic approaches for modeling reference evapotranspiration
  213. Comparison of different methods for developing a stage-discharge curve of the Kizilirmak River
  214. Monthly pan evaporation modeling using linear genetic programming
  215. Anfis to estimate discharge capacity of rectangular side weir
  216. A genetic programming technique for lake level modeling
  217. Modeling dimensionless longitudinal dispersion coefficient in natural streams using artificial intelligence methods
  218. Estimation of daily dew point temperature using genetic programming and neural networks approaches
  219. Evolutionary neural networks for monthly pan evaporation modeling
  220. “Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations” by Jalal Shiri & Ozgur Kisi [Computers and Geosciences (2011) 1692–1701]
  221. Predicting groundwater level fluctuations with meteorological effect implications—A comparative study among soft computing techniques
  222. Fuzzy Genetic Approach for Estimating Reference Evapotranspiration of Turkey: Mediterranean Region
  223. Prediction of long-term monthly air temperature using geographical inputs
  224. Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia
  225. Evaluation of different data management scenarios for estimating daily reference evapotranspiration
  226. Estimating Daily Pan Evaporation Using Different Data-Driven Methods and Lag-Time Patterns
  227. Estimation of dew point temperature using neuro-fuzzy and neural network techniques
  228. Modeling rainfall-runoff process using soft computing techniques
  229. Global cross-station assessment of neuro-fuzzy models for estimating daily reference evapotranspiration
  230. Prediction of Discharge Coefficient for Trapezoidal Labyrinth Side Weir Using a Neuro-Fuzzy Approach
  231. Estimation of Reference Evapotranspiration: Need for Generalized Models
  232. Modeling monthly pan evaporations using fuzzy genetic approach
  233. Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall
  234. System dynamics simulation of soil water resources with data support from the Yucheng Comprehensive Experimental Station, North China
  235. Estimating soil wetting patterns for drip irrigation using genetic programming
  236. Damage detection in Timoshenko beam structures by multilayer perceptron and radial basis function networks
  237. Comparison of Gene Expression Programming with neuro-fuzzy and neural network computing techniques in estimating daily incoming solar radiation in the Basque Country (Northern Spain)
  238. Estimation of Daily Pan Evaporation Using Two Different Adaptive Neuro-Fuzzy Computing Techniques
  239. Estimation of Daily Suspended Sediment Load by Using Wavelet Conjunction Models
  240. Forecasting daily stream flows using artificial intelligence approaches
  241. Modeling discharge-suspended sediment relationship using least square support vector machine
  242. Estimating daily reference evapotranspiration using available and estimated climatic data by adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN)
  243. Prediction of fatty acid composition of vegetable oils based on rheological measurements using nonlinear models
  244. Suspended sediment modeling using genetic programming and soft computing techniques
  245. Application of Non-linear Models to Predict Inhibition Effects of Various Plant Hydrosols on Listeria monocytogenes Inoculated on Fresh-Cut Apples
  246. Pan Evaporation Modeling Using Neural Computing Approach for Different Climatic Zones
  247. SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment
  248. River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques
  249. Modeling of Dissolved Oxygen Concentration Using Different Neural Network Techniques in Foundation Creek, El Paso County, Colorado
  250. Precipitation forecasting by using wavelet-support vector machine conjunction model
  251. Forecasting Water Level Fluctuations of Urmieh Lake using Gene Expression Programming and Adaptive Neuro-Fuzzy Inference System
  252. Modeling antimicrobial effect of different grape pomace and extracts on S. aureus and E. coli in vegetable soup using artificial neural network and fuzzy logic system
  253. Letter to the Editor on “Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models” by Ozgur Kisi & Jalal Shiri [Water Resources Management 25 (2011) 3135–3152]
  254. REPLY to Discussion of “Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models”
  255. Least squares support vector machine for modeling daily reference evapotranspiration
  256. Forecasting daily lake levels using artificial intelligence approaches
  257. Generalized Neurofuzzy Models for Estimating Daily Pan Evaporation Values from Weather Data
  258. Modeling discharge–sediment relationship using neural networks with artificial bee colony algorithm
  259. Prediction of lateral outflow over triangular labyrinth side weirs under subcritical conditions using soft computing approaches
  260. River Flow Estimation and Forecasting by Using Two Different Adaptive Neuro-Fuzzy Approaches
  261. Investigating chaos in river stage and discharge time series
  262. Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)
  263. Wavelet and neuro-fuzzy conjunction model for streamflow forecasting
  264. A combined generalized regression neural network wavelet model for monthly streamflow prediction
  265. Prediction of Short-Term Operational Water Levels Using an Adaptive Neuro-Fuzzy Inference System
  266. Intermittent Streamflow Forecasting by Using Several Data Driven Techniques
  267. Modeling Reference Evapotranspiration Using Evolutionary Neural Networks
  268. Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations
  269. Wind Speed Prediction by using Different Wavelet Conjunction Models
  270. River Suspended Sediment Load Prediction: Application of ANN and Wavelet Conjunction Model
  271. Application of Artificial Intelligence to Estimate Daily Pan Evaporation Using Available and Estimated Climatic Data in the Khozestan Province (South Western Iran)
  272. Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models
  273. Comparison of three artificial intelligence techniques for discharge routing
  274. Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process
  275. Performance Evaluation of ANN and ANFIS Models for Estimating Garlic Crop Evapotranspiration
  276. Prediction of Effect of Natural Antioxidant Compounds on Hazelnut Oil Oxidation by Adaptive Neuro-Fuzzy Inference System and Artificial Neural Network
  277. Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels
  278. An Empirical Investigation of the Impact of Individual and Work Characteristics on Telecommuting Success
  279. A wavelet-support vector machine conjunction model for monthly streamflow forecasting
  280. Neural networks for estimation of discharge capacity of triangular labyrinth side-weir located on a straight channel
  281. Neural networks with artificial bee colony algorithm for modeling daily reference evapotranspiration
  282. A probe into the chaotic nature of daily streamflow time series by correlation dimension and largest Lyapunov methods
  283. Reply to the Discussion of “Evapotranspiration modelling using support vector machines” by R. J. Abrahartet al.
  284. Discussion of “Application of neural network and adaptive neuro-fuzzy inference systems for river flow prediction”*
  285. Frequency analyses of annual extreme rainfall series from 5 min to 24 h
  286. Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model
  287. Estimation of Suspended Sediment Yield in Natural Rivers Using Machine-coded Linear Genetic Programming
  288. Evapotranspiration Modeling Using Linear Genetic Programming Technique
  289. Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting
  290. Evapotranspiration modeling using a wavelet regression model
  291. Wavelet regression model for short-term streamflow forecasting
  292. Discussion of “Daily Pan Evaporation Modeling in a Hot and Dry Climate” by J. Piri, S. Amin, A. Moghaddamnia, A. Keshavarz, D. Han, and R. Remesan
  293. Daily pan evaporation modeling using linear genetic programming technique
  294. River suspended sediment concentration modeling using a neural differential evolution approach
  295. A machine code-based genetic programming for suspended sediment concentration estimation
  296. Application of two different neural network techniques to lateral outflow over rectangular side weirs located on a straight channel
  297. Reply to comment on ‘Kişi Ö. 2009. Daily pan evaporation modelling using multi-layer perceptrons and radial basis neural networks. Hydrological Processes 23(2): 213-223’
  298. Discussion of “Comparative Study of ANNs versus Parametric Methods in Rainfall Frequency Analysis” by Jianxun He and Caterina Valeo
  299. Fuzzy Genetic Approach for Modeling Reference Evapotranspiration
  300. Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique
  301. Wavelet regression model as an alternative to neural networks for monthly streamflow forecasting
  302. An artificial neural network model for the prediction of critical submergence for intake in a stratified fluid medium
  303. Comparison of two different data-driven techniques in modeling lake level fluctuations in Turkey
  304. Evapotranspiration modelling using support vector machines / Modélisation de l'évapotranspiration à l'aide de ‘support vector machines’
  305. Bridge afflux analysis through arched bridge constrictions using artificial intelligence methods
  306. Neural Networks and Wavelet Conjunction Model for Intermittent Streamflow Forecasting
  307. Neural network and wavelet conjunction model for modelling monthly level fluctuations in Turkey
  308. Daily suspended sediment estimation using neuro-wavelet models
  309. Comments on
  310. Evolutionary fuzzy models for river suspended sediment concentration estimation
  311. Adaptive neuro-fuzzy computing technique for suspended sediment estimation
  312. Modeling monthly evaporation using two different neural computing techniques
  313. Suspended sediment concentration estimation by an adaptive neuro-fuzzy and neural network approaches using hydro-meteorological data
  314. Modeling River Stage-Discharge Relationships Using Different Neural Network Computing Techniques
  315. Daily pan evaporation modelling using multi-layer perceptrons and radial basis neural networks
  316. Comment on ‘Nourani V, Mogaddam AA, Nadiri AO. 2008. An ANN-based model for spatiotemporal groundwater level forecasting.Hydrological Processes22: 5054-5066’
  317. Modelling daily suspended sediment of rivers in Turkey using several data-driven techniques / Modélisation de la charge journalière en matières en suspension dans des rivières turques à l'aide de plusieurs techniques empiriques
  318. Constructing neural network sediment estimation models using a data-driven algorithm
  319. Stream flow forecasting using neuro-wavelet technique
  320. Reply to comment on ‘Kisi O. 2007. Evapotranspiration modelling from climatic data using a neural computing technique.Hydrological Processes21:1925–1934’
  321. The potential of different ANN techniques in evapotranspiration modelling
  322. Initial assessment of bridge backwater using an artificial neural network approach
  323. A genetic programming approach to suspended sediment modelling
  324. Predicting the compressive strength of steel fiber added lightweight concrete using neural network
  325. River flow forecasting and estimation using different artificial neural network techniques
  326. Streamflow Forecasting Using Different Artificial Neural Network Algorithms
  327. Comparison of different ANN techniques in river flow prediction
  328. Wavelet and neuro-fuzzy conjunction model for precipitation forecasting
  329. Adaptive Neurofuzzy Computing Technique for Evapotranspiration Estimation
  330. Estimation of total sediment load concentration obtained by experimental study using artificial neural networks
  331. Prediction of Hydropower Energy Using ANN for the Feasibility of Hydropower Plant Installation to an Existing Irrigation Dam
  332. Türkçede Üçüncü Kişi Buyrum Yapıları
  333. Evapotranspiration modelling from climatic data using a neural computing technique
  334. Suspended sediment prediction using two different feed-forward back-propagation algorithms
  335. Generalized regression neural networks for evapotranspiration modelling
  336. Daily pan evaporation modelling using a neuro-fuzzy computing technique
  337. Evapotranspiration estimation using feed-forward neural networks
  338. Methods to improve the neural network performance in suspended sediment estimation
  339. River suspended sediment modelling using a fuzzy logic approach
  340. Discussion of ȁFuzzy logic model approaches to daily pan evaporation estimation in western Turkeyȁ
  341. Discussion of “Forecasting of Reference Evapotranspiration by Artificial Neural Networks” by Slavisa Trajkovic, Branimir Todorovic, and Miomir Stankovic
  342. Suspended sediment estimation using neuro-fuzzy and neural network approaches/Estimation des matières en suspension par des approches neurofloues et à base de réseau de neurones
  343. Closure to “Forecasting of Reference Evapotranspiration by Artificial Neural Networks” by Slavisa Trajkovic, Branimir Todorovic, and Miomir Stankovic
  344. Discussion of “Estimating Actual Evapotranspiration from Limited Climatic Data Using Neural Computing Technique” by K. P. Sudheer, A. K. Gosain, and K. S. Ramasastri
  345. Multi-layer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation / Prévision et estimation de la concentration en matières en suspension avec des perceptrons multi-couches et l’algorithm...
  346. Daily suspended sediment modelling using a fuzzy differential evolution approach / Modélisation journalière des matières en suspension par une approche d’évolution différentielle floue
  347. River Flow Modeling Using Artificial Neural Networks
  348. Forecasting of Reference Evapotranspiration by Artificial Neural Networks
  349. Estimating Actual Evapotranspiration from Limited Climatic Data Using Neural Computing Technique
  350. Ten-Stage Discrete Flood Routing for Dams Having Gated Spillways