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- W968819911 abstract "In this paper, We interpret a fuzzy differential equation by using the strongly generalized differentiability concept. Utilizing the Generalized characterization Theorem. Then a novel hybrid method based on learning algorithm of fuzzy neural network for the solution of differential equation with fuzzy initial value is presented. Here neural network is considered as a part of large field called neural computing or soft computing. The model finds the approximated solution of fuzzy differential equation inside of its domain for the close enough neighborhood of the fuzzy initial point. We propose a learning algorithm from the cost function for adjusting of fuzzy weights." @default.
- W968819911 created "2016-06-24" @default.
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- W968819911 date "2013-12-01" @default.
- W968819911 modified "2023-09-26" @default.
- W968819911 title "Numerical solution of fuzzy differential equations under generalized differentiability by fuzzy neural network" @default.
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