Using neural networks for approximating functions and equations
In this report, we develop the approximation rates of ReLU neural networks for solutions to the elliptic two-scale problems, the stochastic parabolic initial boundary value problems, and the parametric elliptic problems. We obtain bounds on network complexities - in terms of the depth size and the n...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2019
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| Online Access: | https://hdl.handle.net/10356/136490 |