Development of a nutritional system using Backpropagation neural network

What is it about?

This paper presents the development of a nutritional system using Backpropagation neural network, that is able to provide clear and simple prediction problems of obesity in children up to twelve years, based on your eating habits during the day. For the development of this project has taken into account various factors, which are vital for the proper development of infants. A prediction system can offer a solution to several factors, which are not easily determined by conventional means.

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Why is it important?

A prediction system can offer a solution to several factors, which are not easily determined by conventional means.

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