NeuroDiffEq: A Python package for solving differential equations with neural networks-Reference-Cited by-同舟云学术

NeuroDiffEq: A Python package for solving differential equations with neural networks

Published:2020-02-19 Issue:46 Volume:5 Page:1931
ISSN:2475-9066
Container-title:Journal of Open Source Software
language:
Short-container-title:JOSS

Author:

Chen Feiyu^ORCID,Sondak David,Protopapas Pavlos,Mattheakis Marios,Liu Shuheng,Agarwal Devansh,Di Giovanni Marco

Publisher

The Open Journal

Link

http://www.theoj.org/joss-papers/joss.01931/10.21105.joss.01931.pdf

Reference10 articles.

1. Implicit and implicit-explicit strong stability preserving Runge–Kutta methods with high linear order

2. Multilayer feedforward networks are universal approximators

3. Artificial neural networks for solving ordinary and partial differential equations

4. Artificial Neural Network Method for Solution of Boundary Value Problems With Exact Satisfaction of Arbitrary Boundary Conditions

5. DeepXDE: A deep learning library for solving differential equations, Lu, Lu and Meng, Xuhui and Mao, Zhiping and Karniadakis, George E, arXiv preprint arXiv:1907.04502, 2019

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