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Information Journal Paper

Title

NUMERICAL SOLUTION OF HYBRID FUZZY DIFFERENTIAL EQUATIONS BY FUZZY NEURAL NETWORK

Pages

  141-155

Abstract

 The HYBRID FUZZY DIFFERENTIAL EQUATIONS have a wide range of applications in science and engineering. We consider the problem of finding their numerical solutions by using a novel hybrid method based on fuzzy neural network. Here neural network is considered as a part of large field called neural computing or soft computing. The proposed algorithm is illustrated by numerical examples and the results obtained using the scheme presented here agree well with the analytical solutions.

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    Cite

    APA: Copy

    OTADI, M., & MOSLEH, M.. (2014). NUMERICAL SOLUTION OF HYBRID FUZZY DIFFERENTIAL EQUATIONS BY FUZZY NEURAL NETWORK. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 6(2), 141-155. SID. https://sid.ir/paper/231805/en

    Vancouver: Copy

    OTADI M., MOSLEH M.. NUMERICAL SOLUTION OF HYBRID FUZZY DIFFERENTIAL EQUATIONS BY FUZZY NEURAL NETWORK. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2014;6(2):141-155. Available from: https://sid.ir/paper/231805/en

    IEEE: Copy

    M. OTADI, and M. MOSLEH, “NUMERICAL SOLUTION OF HYBRID FUZZY DIFFERENTIAL EQUATIONS BY FUZZY NEURAL NETWORK,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 6, no. 2, pp. 141–155, 2014, [Online]. Available: https://sid.ir/paper/231805/en

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