Prediction of optical solitons using an improved physics-informed neural network method with the conservation law constraint
type: Item
instance of: scholarly article
title: Prediction of optical solitons using an improved physics-informed neural network method with the conservation law constraint
zbMATH Open document ID: 1505.78035
author: Gang-Zhou Wu
author: Yin Fang
author: Nikolai A. Kudryashov
author: Yue-Yue Wang
author: Chao-Qing Dai
published in: Chaos, Solitons and Fractals
publication date: 2023-01-12T00:00:00Z
Mathematics Subject Classification ID: 78A60
Mathematics Subject Classification ID: 35Q55
zbMATH DE Number: 7641524
zbMATH Keywords: conservation laws
zbMATH Keywords: improved physics-informed neural network
zbMATH Keywords: standard nonlinear Schrödinger equation
zbMATH Keywords: optical solitons
describes a project that uses: ImageNet
describes a project that uses: AlexNet
describes a project that uses: PPINN
describes a project that uses: FPINNs
describes a project that uses: NSFnets
MaRDI profile type: Publication
full work available at URL: j.chaos.2022.112143
OpenAlex ID: W4225269297
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DOI: 10.1016/J.CHAOS.2022.112143
description: scientific article; zbMATH DE number 7641524