Novel trial functions and rogue waves of generalized breaking soliton equation via bilinear neural network method

Run-Fa Zhang, Ming-Chu Li, Jian-Yuan Gan, Qing Li and Zhong-Zhou Lan

Chaos, Solitons & Fractals, 2022, vol. 154, issue C

Abstract: In this work, some new test functions are constructed by setting generalized activation functions in different artificial network models. Bilinear neural network method is introduced to solve the explicit solution of a generalized breaking soliton equation. Rogue waves of generalized breaking soliton equation are obtained by symbolic computing technology and displayed intuitively with the help of Maple software.

Keywords: Symbolic computation; BNNM; Physical informed neural networks; (3+1)-Dimensional breaking soliton equation (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:154:y:2022:i:c:s0960077921010468

DOI: 10.1016/j.chaos.2021.111692

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