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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… Click to show full 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.
Keywords:
semi linear;
linear pdes;
machine learning;
learning semi
Journal Title: Journal of Scientific Computing
Year Published: 2019
Link to full text (if available)
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Journal Title: Journal of Scientific Computing
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!