DL-PDE: Deep-Learning Based Data-Driven Discovery of Partial Differential Equations from Discrete and Noisy Data
type: Item
instance of: scholarly article
title: DL-PDE: Deep-Learning Based Data-Driven Discovery of Partial Differential Equations from Discrete and Noisy Data
author: Hao Xu
author: Haibin Chang
author: Dongxiao Zhang
published in: Communications in Computational Physics
publication date: 2021-11-03T00:00:00Z
full work available at URL: https://arxiv.org/abs/1908.04463
Mathematics Subject Classification ID: 65-XX
Mathematics Subject Classification ID: 35E99
zbMATH DE Number: 7419698
zbMATH Keywords: data-driven discovery
zbMATH Keywords: machine learning
zbMATH Keywords: deep neural network
zbMATH Keywords: sparse regression
zbMATH Keywords: noisy data
describes a project that uses: DiffSharp
describes a project that uses: Adam
describes a project that uses: PDE-Net
Wikidata QID: Q115211272
MaRDI profile type: Publication
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DOI: 10.4208/CICP.OA-2020-0142
description: scientific article; zbMATH DE number 7419698