Web: http://arxiv.org/abs/2010.12060

May 12, 2022, 1:11 a.m. | Hongwei Guo, Xiaoying Zhuang, Pengwan Chen, Naif Alajlan, Timon Rabczuk

cs.LG updates on arXiv.org arxiv.org

In this work, we present a deep collocation method for three dimensional
potential problems in nonhomogeneous media. This approach utilizes a physics
informed neural network with material transfer learning reducing the solution
of the nonhomogeneous partial differential equations to an optimization
problem. We tested different cofigurations of the physics informed neural
network including smooth activation functions, sampling methods for collocation
points generation and combined optimizers. A material transfer learning
technique is utilised for nonhomogeneous media with different material
gradations and …

analysis arxiv deep learning media physics transfer transfer learning

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