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    Artificial neural network approach for solving fuzzy differential equations 

    Type: Journal Paper
    Author : سهراب عفتی; M. Pakdaman; Sohrab Effati
    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 

    Type: Journal Paper
    Author : M. Pakdaman; A. Ahmadian; S. Effati; S. Salahshour; D. Baleanu
    Year: 2017
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    Solving differential equations of fractional order using an optimization technique based on training artificial neural network 

    Type: Journal Paper
    Author : M. Pakdaman; A. Ahmadian; سهراب عفتی; S. Salahshour; D. Baleanu; Sohrab Effati
    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 

    Type: Journal Paper
    Author : هادی صدوقی یزدی; M. Pakdaman; سهراب عفتی; Hadi Sadoghi Yazdi; Sohrab Effati
    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 ...

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