Prediction of the number of solitons for initial value of nonlinear Schrödinger equation based on the deep learning method

DOI10.1016/J.PHYSLETA.2022.128536OpenAlexW4308658801MaRDI QIDQ2107244

Zhen Wang, Shikun Cui

Publication date: 1 December 2022

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2022.128536

zbMATH Keywords

NLS equationdeep learning methodconventional neural networknumber of solitons

Mathematics Subject Classification ID

Quantum theory (81-XX) Statistical mechanics, structure of matter (82-XX)

Related Items (1)

Number of solitons emerged in the initial profile of shallow water using convolutional neural networks

Uses Software

• Adam

Cites Work

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