Multiscale computation on feedforward neural network and recurrent neural network

Volume: 14, Issue: 6, Pages: 1285 - 1298
Published: Dec 1, 2020
Abstract
Homogenization methods can be used to predict the effective macroscopic properties of materials that are heterogenous at micro- or fine-scale. Among existing methods for homogenization, computational homogenization is widely used in multiscale analyses of structures and materials. Conventional computational homogenization suffers from long computing times, which substantially limits its application in analyzing engineering problems. The neural...
Paper Details
Title
Multiscale computation on feedforward neural network and recurrent neural network
Published Date
Dec 1, 2020
Volume
14
Issue
6
Pages
1285 - 1298
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