DLGA-PDE: Discovery of PDEs with incomplete candidate library via
combination of deep learning and genetic algorithm

DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm

21 January 2020

Papers citing "DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm"

13 / 13 papers shown

Title
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis Yasamin Jalalian Juan Felipe Osorio Ramirez Alexander W. Hsu Bamdad Hosseini H. Owhadi 139 0 0 02 Mar 2025
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media Su Chen Yi Ding Hiroe Miyake Xiaojun Li 73 0 0 27 Sep 2024
Integration of knowledge and data in machine learning Yuntian Chen Dongxiao Zhang PINN 49 32 0 15 Feb 2022
Learning Partial Differential Equations from Data Using Neural Networks Ali Hasan João M. Pereira Robert J. Ravier Sina Farsiu Vahid Tarokh 30 18 0 22 Oct 2019
Data-Driven Deep Learning of Partial Differential Equations in Modal Space Kailiang Wu D. Xiu 103 152 0 15 Oct 2019
Data-driven discovery of free-form governing differential equations Steven Atkinson W. Subber Liping Wang Genghis Khan Philippe Hawi R. Ghanem 39 43 0 27 Sep 2019
DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data Hao Xu Haibin Chang Dongxiao Zhang AI4CE 35 70 0 13 Aug 2019
Data-driven PDE discovery with evolutionary approach M. Maslyaev A. Hvatov Anna V. Kaluzhnaya 33 25 0 19 Mar 2019
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network Zichao Long Yiping Lu Bin Dong AI4CE 57 549 0 30 Nov 2018
Data Driven Governing Equations Approximation Using Deep Neural Networks Tong Qin Kailiang Wu D. Xiu PINN 59 272 0 13 Nov 2018
Identification of physical processes via combined data-driven and data-assimilation methods Haibin Chang Dongxiao Zhang 24 32 0 29 Oct 2018
NETT: Solving Inverse Problems with Deep Neural Networks Housen Li Johannes Schwab Stephan Antholzer Markus Haltmeier 65 241 0 28 Feb 2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations M. Raissi PINN AI4CE 104 753 0 20 Jan 2018