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Nonlinear water wave dynamics of data-driven soliton solutions for the Kakutani–Matsuuchi model in Ocean Engineering
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DOI：10.1016/j.oceaneng.2026.127401.png)
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Abstract
En 中文
• A novel extended direct algebraic neural network method is proposed and applied on the KM model. • Having application in ocean currents, atmospherics, as well as the behavior of plasma waves. • A [2,2,3,1] neural network model is used to explore the novel soliton solution. • LM-ANN is also used to prove the accuracy and reliability of the analytical solutions. • Fitness plots, regression analysis, and error measures are used to assess the performance of the neural network in various situations.
Keywords:
Soliton theory
Mathematical model
The new extended direct algebraic neural network method
Symbolic computation
Soliton solutions
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