APPLICATION HEYPERBOLIC TANGANT TRANSFORMATION FUNCTION IN HIDEN LAYER OF NEURAL NETWORK TO SOLVE HIGH ORDER DIERENTIAL EQUATIONS

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Ezadi Somayeh

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Seminar Paper

Paper Information

Seminar: SEMINAR ON MATHEMATICAL ANALYSIS AND ITS APPLICATIONS (SMAA18)
Year:2014 | Issue:21

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Information Seminar Paper

Title

APPLICATION HEYPERBOLIC TANGANT TRANSFORMATION FUNCTION IN HIDEN LAYER OF NEURAL NETWORK TO SOLVE HIGH ORDER DIERENTIAL EQUATIONS

Author(s)

Ezadi Somayeh | Issue Writer Certificate

Keywords

HIGH ORDER DIFFERENTIAL EQUATIONS

MLP NEURAL NETWORK

BFGS METHOD

Abstract

IN THIS PAPER, WE INTRODUCE A HYBRID APPROACH BASED ON NEURAL NETWORK AND OPTIMIZATION TEQNIQUE TO SOLVE HIGH ORDER DIFFERENTIAL EQUATION. IN PROPOSED MODEL WE USE HEYPERBOLIC TANGANT TRANSFORMATION FUNCTION IN HIDEN LAYER OF NEURAL NETWORK PART AND BFGS TEQNIQUE IN OPTIMIZATION PART. IN COMPARISON WITH EXISTING SIMILAR NEURAL NETWORKS PROPOSED MODEL PROVIDES SOLUTIONS WITH HIGH ACCURACY. NUMERICAL EXAMPLES WITH SIMULATION RESULTS ILLUSTRATE THE EFFECTIVENESS OF THE PROPOSED MODEL.

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APA: Copy

Ezadi, Somayeh. (). . . SID. https://sid.ir/paper/937037/en

Vancouver: Copy

Ezadi Somayeh. . . Available from: https://sid.ir/paper/937037/en

IEEE: Copy