E-PINN: A fast physics-informed neural network based on explicit time-domain method for dynamic response prediction of nonlinear structures-Reference-Cited by-同舟云学术

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E-PINN: A fast physics-informed neural network based on explicit time-domain method for dynamic response prediction of nonlinear structures

Published:2024-12 Issue: Volume:321 Page:118900
ISSN:0141-0296
Container-title:Engineering Structures
language:en
Short-container-title:Engineering Structures

Author:

Su Cheng,Liang Jingwei,He Zengsheng

Funder

Guangdong Provincial Natural Science Foundation

South China University of Technology Guangdong Provincial Key Laboratory of Modern Civil Engineering Technology

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference54 articles.

1. Dynamics of structures;Chopra,2007

2. Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks;Hornik;Neural Netw,1990

3. Approximation capabilities of multilayer feedforward networks;Hornik;Neural Netw,1991

4. Backpropagation through time: What it does and how to do it;Werbos;Proc IEEE,1990

5. Artificial neural networks: Fundamentals, computing, design, and application;Basheer;J Microbiol Methods,2000

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