Artificial neural network approach for solving strongly degenerate parabolic and burgers-fisher equations

Abstract

Partial differential equations (PDEs) emerges in modeling innumerable phenomena that applies in science and technology. In this current work, a methodology involving novel iterative technique considering feed-forward neural networks (FNNs) is suggested to extract approximate solution for the second-order nonlinear PDEs with real constant coefficients (RCCs… (More)
DOI: 10.1109/ICEEE.2015.7357914

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Cite this paper

@article{Jafari2015ArtificialNN, title={Artificial neural network approach for solving strongly degenerate parabolic and burgers-fisher equations}, author={Raheleh Jafari and Wen Yu}, journal={2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)}, year={2015}, pages={1-6} }