Predicting positon solutions of a family of nonlinear Schrödinger equations through deep learning algorithm
type: Item
instance of: scholarly article
title: Predicting positon solutions of a family of nonlinear Schrödinger equations through deep learning algorithm
author: K. Thulasidharan
author: N. Vishnu Priya
author: S. Monisha
author: M. Senthilvelan
published in: Physics Letters. A
publication date: 2024-06-17T00:00:00Z
Mathematics Subject Classification ID: 35Q55
Mathematics Subject Classification ID: 35Q41
Mathematics Subject Classification ID: 68T07
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 35C08
Mathematics Subject Classification ID: 37K10
Mathematics Subject Classification ID: 37K35
Mathematics Subject Classification ID: 35C05
zbMATH DE Number: 7866161
zbMATH Keywords: deep learning
zbMATH Keywords: neural network
zbMATH Keywords: nonlinear Schrödinger equations
zbMATH Keywords: positons
MaRDI profile type: Publication
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DOI: 10.1016/J.PHYSLETA.2024.129551
description: scientific article; zbMATH DE number 7866161