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Artificial neural network approach for solving fuzzy differential equations
Year: 2010
Abstract:
The current research attempts to offer a novel method for solving fuzzy differential equations
with initial conditions based on the use of feed-forward neural networks. First, the
fuzzy differential equation ...
Solving differential equations of fractional order using an optimization technique based on training artificial neural network
Year: 2016
Abstract:
The current study aims to approximate the solution of fractional differential equations (FDEs) by using the fundamental properties of artificial neural networks (ANNs) for function approximation. In the first step, we ...
Fuzzy Circuit Analysis
Year: 2008
Abstract:
Environmental condition, unknown effects over circuit and vague value of
elements are main factors for paying to fuzzy variables in circuit analysis.
This paper presents a new viewpoint in circuit solving ...