All Stories

  1. Analyzing the performance of geometric mean optimization-based artificial neural networks for cryptocurrency forecasting

    Article • International Journal of Information Technology, June 2024, Springer Science + Business Media

    Sarat Nayak

  2. Improved Set Algebra-Based Heuristic Technique for Training Multiplicative Functional Link Artificial Neural Networks for Financial Time Series Forecasting

    Article • SN Computer Science, May 2024, Springer Science + Business Media

    Sarat Nayak

  3. Expediting Prediction Accuracy with Exploration and Incorporation of Virtual Data

    Article • SN Computer Science, May 2024, Springer Science + Business Media

    Sarat Nayak

  4. Machine Learning in Healthcare Analytics: A State-of-the-Art Review

    Article • Archives of Computational Methods in Engineering, April 2024, Springer Science + Business Media

    Sarat Nayak

  5. An evolutionary functional link artificial neural network for assessment of compressive strength of concrete structures

    Article • Ain Shams Engineering Journal, March 2024, Elsevier

    Sarat Nayak

  6. Elitist-opposition-based artificial electric field algorithm for higher-order neural network optimization and financial time series forecasting

    Article • Financial Innovation, January 2024, Springer Science + Business Media

    Sarat Nayak

  7. Evaluating the Performance of Metaheuristic Based Artificial Neural Networks for Cryptocurrency Forecasting

    Article • Computational Economics, September 2023, Springer Science + Business Media

    Sarat Nayak

  8. Estimation of compressive strength of concrete cement using random vector functional link networks: a case study

    Article • Soft Computing, July 2023, Springer Science + Business Media

    Sarat Nayak

  9. A Comprehensive Survey on Higher Order Neural Networks and Evolutionary Optimization Learning Algorithms in Financial Time Series Forecasting

    Article • Archives of Computational Methods in Engineering, May 2023, Springer Science + Business Media

    Sarat Nayak

  10. Exploiting Predictability of Random Vector Functional Link Networks in Forecasting Quality of Service (QoS) Parameters of IoT-Based Web Services Data

    Article • International Journal of Sensors Wireless Communications and Control, April 2023, Bentham Science Publishers

    Sarat Nayak

  11. An Elitist Artificial Electric Field Algorithm Based Random Vector Functional Link Network for Cryptocurrency Prices Forecasting

    Article • IEEE Access, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Sarat Nayak

  12. Estimation of compressive strength of concrete cement using random vector functional link networks: a case study

    Article • November 2022, Research Square

    Sarat Nayak

  13. Extreme Learning With Metaheuristic Optimization for Exchange Rate Forecasting

    Article • International Journal of Swarm Intelligence Research, May 2022, IGI Global

    Sarat Nayak

  14. CRODNM: Chemical Reaction Optimization of Dendritic Neuron Models for Forecasting Net Asset Values of Mutual Funds

    Article • January 2022, Springer Science + Business Media

    Sarat Nayak

  15. Intelligent Financial Forecasting With an Improved Chemical Reaction Optimization Algorithm Based Dendritic Neuron Model

    Article • IEEE Access, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Sarat Nayak

  16. Development and Performance Analysis of Fireworks Algorithm-Trained Artificial Neural Network (FWANN)

    Article • January 2022, IGI Global

    Sarat Nayak

  17. Modeling and Forecasting Cryptocurrency Closing Prices with Rao Algorithm-Based Artificial Neural Networks: A Machine Learning Approach

    Article • FinTech, December 2021, MDPI AG

    Sarat Nayak

  18. Towards Crafting Optimal Functional Link Artificial Neural Networks with Rao Algorithms for Stock Closing Prices Prediction

    Article • Computational Economics, June 2021, Springer Science + Business Media

    Sarat Nayak

  19. TLBO-FLN: Teaching-Learning Based Optimization of Functional Link Neural Networks for Stock Closing Price Prediction

    Article • International Journal of Sensors Wireless Communications and Control, December 2020, Bentham Science Publishers

    Mohd Dilshas Ansari, Sarat Nayak, subhranginee das

  20. Extreme learning with chemical reaction optimization for stock volatility prediction

    Article • Financial Innovation, February 2020, Springer Science + Business Media

    Sarat Nayak

  21. Development and Performance Analysis of Fireworks Algorithm-Trained Artificial Neural Network (FWANN)

    Article • January 2020, IGI Global

    Sarat Nayak

  22. An Adaptive Second Order Neural Network with Genetic-Algorithm-based Training (ASONN-GA) to Forecast the Closing Prices of the Stock Market

    Article • January 2020, IGI Global

    Sarat Nayak

  23. A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction

    Article • Financial Innovation, November 2019, Springer Science + Business Media

    Sarat Nayak

  24. COA-HONN: cooperative optimization algorithm based higher order neural networks for stock fore casting

    Article • Recent Advances in Computer Science and Communications, September 2019, Bentham Science Publishers

    Mohd Dilshas Ansari, Sarat Nayak

  25. Artificial chemical reaction optimization based neural net for virtual data position exploration for efficient financial time series forecasting

    Article • Ain Shams Engineering Journal, December 2018, Elsevier

    Sarat Nayak

  26. On Developing and Performance Evaluation of Adaptive Second Order Neural Network With GA-Based Training (ASONN-GA) for Financial Time Series Prediction

    Article • January 2018, IGI Global

    Sarat Nayak

  27. DE-Based RBFNs for Classification With Special Attention to Noise Removal and Irrelevant Features

    Article • January 2018, IGI Global

    Sarat Nayak

  28. Escalation of Prediction Accuracy With Virtual Data

    Article • January 2018, IGI Global

    Sarat Nayak

  29. Artificial chemical reaction optimization of neural networks for efficient prediction of stock market indices

    Article • Ain Shams Engineering Journal, September 2017, Elsevier

    Sarat Nayak

  30. Development and Performance Evaluation of Adaptive Hybrid Higher Order Neural Networks for Exchange Rate Prediction

    Article • International Journal of Intelligent Systems and Applications, August 2017, MECS Publisher

    Sarat Nayak

  31. Efficient financial time series prediction with evolutionary virtual data position exploration

    Article • Neural Computing and Applications, June 2017, Springer Science + Business Media

    Sarat Nayak

  32. Exploration and incorporation of virtual data positions for efficient forecasting of financial time series

    Article • International Journal of Industrial and Systems Engineering, January 2017, Inderscience Publishers

    Sarat Nayak

  33. An Adaptive Second Order Neural Network with Genetic-Algorithm-based Training (ASONN-GA) to Forecast the Closing Prices of the Stock Market

    Article • International Journal of Applied Metaheuristic Computing, April 2016, IGI Global

    Sarat Nayak

  34. Adaptive Hybrid Higher Order Neural Networks for Prediction of Stock Market Behavior

    Article • January 2016, IGI Global

    Sarat Nayak

  35. Improving Performance of Higher Order Neural Network using Artificial Chemical Reaction Optimization

    Article • January 2016, IGI Global

    Sarat Nayak

  36. Evolving Low Complex Higher Order Neural Network Based Classifiers for Medical Data Classification

    Article • December 2015, Springer Science + Business Media

    Sarat Nayak

  37. Opposition-Based GA Learning of Artificial Neural Networks for Financial Time Series Forecasting

    Article • December 2015, Springer Science + Business Media

    Sarat Nayak

  38. A Pi-Sigma Higher Order Neural Network for Stock Index Forecasting

    Article • December 2014, Springer Science + Business Media

    Sarat Nayak

  39. Comparison of Performance of Different Functions in Functional Link Artificial Neural Network: A Case Study on Stock Index Forecasting

    Article • December 2014, Springer Science + Business Media

    Sarat Nayak

  40. Cooperative optimization for efficient financial time series forecasting

    Article • March 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Sarat Nayak

  41. Hybridzing chemical reaction optimization and Artificial Neural Network for stock future index forecasting

    Article • September 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Sarat Nayak

  42. Evaluation of normalization methods on neuro-genetic models for stock index forecasting

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Sarat Nayak

  43. Index prediction with neuro-genetic hybrid network: A comparative analysis of performance

    Article • February 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Sarat Nayak