Mixing neural networks, continuation and symbolic computation to solve parametric systems of non linear equations-Reference-Cited by-同舟云学术

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Mixing neural networks, continuation and symbolic computation to solve parametric systems of non linear equations

Published:2024-08 Issue: Volume:176 Page:106316
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Merlet J.-P.^ORCID

Publisher

Elsevier BV

Reference22 articles.

1. Numerical continuation methods;Allgower,1990

2. Singularity theory;Arnold,1998

3. Three ways to solve partial differential equations with neural networks — a review;Blechschmidt;GAMM-Mitteilungen,2021

4. Chawla, I., et al. (2021). Neural network-based inverse kineto-static analysis of cable-driven parallel robot considering cable mass and elasticity. In 5th int. conf. on cable-driven parallel robots.

5. MPFR: A multiple-precision binary floating-point library with correct rounding;Fousse;ACM Transactions on Mathematical Software,2007

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