Numerical Solution of Fuzzy Differential Equations Based on Taylor Series by Using Fuzzy Neural Networks
Journal Title: JOURNAL OF ADVANCES IN MATHEMATICS - Year 2015, Vol 11, Issue 3
Abstract
In this paper a new method based on learning algorithm of Fuzzy neural network and Taylor series has been developed for obtaining numerical solution of fuzzy differential equations.A fuzzy trial solution of the fuzzy initial value problem is written as a sum of two parts.The first part satisfies the fuzzy initial condition,it contains Taylor series and involves no fuzzy adjustable parameters.The second part involves a feed-forward fuzzy neural network containing fuzzy adjustable parameters (the fuzzy weights).Hence by construction,the fuzzy initial condition is satisfied and the fuzzy network is trained to satisfy the fuzzy differential equation . In comparison with existing similar neural networks,the proposed method provides solutions with high accuracy.Finally , we illustrate our approach by two numerical examples .
Authors and Affiliations
Mazin H. Suhhiem, Eman A. Hussian
Keywords
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- EP ID EP651511
- DOI 10.24297/jam.v11i3.1267
- Views 141
- Downloads 0
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