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Approximate Solutions by Artificial Neural Network of Hybrid Fuzzy Differential Equations by Mahmoud Paripour; Massimiliano Ferrara; Mehdi Salimi is a Engineering article available to read on EtoBox.

What is Approximate Solutions by Artificial Neural Network of Hybrid Fuzzy Differential Equations about?

In this article, we propose a new approach to solve the hybrid fuzzy differential equations based on the feed-forward neural networks. We first replace it by a system of ordinary differential equations. A trial solution of this system involves two parts. The first part satisfies the initial condition and contains no adjustable parameters; however, the second part involves a feed-forward neural network containing adjustable parameters (the weights). This method shows that using neural networks provides solutions with good generalization and the high accuracy.

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Author

Mahmoud Paripour; Massimiliano Ferrara; Mehdi Salimi

Publisher

SAGE Publications

Published

2017

Language

EN

Field

Engineering (Physical Sciences)