Numerical Solution of Kawahara Equation Using Neural Network

Shayma A. Murad(1) , Amera I. Melhum(2) , Lamya A. Omar(3)
(1) Dohuk University ,
(2) Dohuk University ,
(3) Dohuk University

Abstract

An artificial neural network technique is proposed in this research to solve the well-known partial differential equations of the types: Kawahara and modified Kawahara equations. The mathematical model of the equation was developed with the help of artificial neural networks. The construction requires imposing certain constrains on the values of the input, bias and output weights, and on the attribution of certain roles of each aforementioned parameters. The results obtained from the proposed technique were very accurate, simple and convenient. Moreover, the comparison between the approximated solutions and the exact one has done. This comparison found them in a good agreement with each other due to of superior properties of the Neural Network.

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Authors

Shayma A. Murad
juoz@uoz.edu.krd (Primary Contact)
Amera I. Melhum
Lamya A. Omar
Author Biographies

Shayma A. Murad

Department of Mathematics, Faculty of Science, Duhok University, Kurdistan, Iraq.

Amera I. Melhum

Department of Computer Science, Faculty of Science, Duhok University, Kurdistan, Iraq.

Lamya A. Omar

Department of Computer Science, Faculty of Science, Duhok University, Kurdistan, Iraq.

Murad, S. A., Melhum, A. I., & Omar, L. A. (2014). Numerical Solution of Kawahara Equation Using Neural Network. Science Journal of University of Zakho, 2(1), 196-203. https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/153

Article Details

How to Cite

Murad, S. A., Melhum, A. I., & Omar, L. A. (2014). Numerical Solution of Kawahara Equation Using Neural Network. Science Journal of University of Zakho, 2(1), 196-203. https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/153

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