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arXiv · 1809.07609

Machine Learning for semi linear PDEs

Quentin Chan-Wai-Nam·Joseph Mikael·Xavier Warin
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Abstract

Recent machine learning algorithms dedicated to solving semi-linear PDEs are improved by using different neural network architectures and different parameterizations. These algorithms are compared to a new one that solves a fixed point problem by using deep learning techniques. This new algorithm appears to be competitive in terms of accuracy with the best existing algorithms.

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BibTeXRIS

Quentin Chan-Wai-Nam, Joseph Mikael, Xavier Warin. 2018-09-20. Machine Learning for semi linear PDEs. https://arxiv.org/abs/1809.07609

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