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Publikováno v:
International Journal for Numerical Methods in Engineering. 118:258-275
We show that deep convolutional neural networks (CNN) can massively outperform traditional densely-connected neural networks (both deep or shallow) in predicting eigenvalue problems in mechanics. In this sense, we strike out in a new direction in mec