Data-driven soliton solutions and model parameters of nonlinear wave models via the conservation-law constrained neural network method
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Publication:2113241
DOI10.1016/j.chaos.2022.112118zbMath1505.35316arXiv2204.06311OpenAlexW4224033936MaRDI QIDQ2113241
Yin Fang, Yue-Yue Wang, Nikolay A. Kudryashov, Chao-Qing Dai, Gang-Zhou Wu
Publication date: 12 January 2023
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2204.06311
neural networknonlinear Schrödinger equationconservation-law constraintflexible learning rateKorteweg-de Vries and modified Korteweg-de Vries equations
Related Items (3)
Two-dimensional rogue wave clusters in self-focusing Kerr-media ⋮ A linearly implicit energy-preserving exponential time differencing scheme for the fractional nonlinear Schrödinger equation ⋮ Prediction of optical solitons using an improved physics-informed neural network method with the conservation law constraint
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