A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate

In this paper, a deep collocation method (DCM) for thin plate bending problems is proposed. This method takes advantage of computational graphs and backpropagation algorithms involved in deep learning. Besides, the proposed DCM is based on a feedforward deep neural network (DNN) and differs from mos...

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Vydané v:	Computers, materials & continua Ročník 59; číslo 2; s. 433 - 456
Hlavní autori:	Guo, Hongwei, Zhuang, Xiaoying, Rabczuk, Timon
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Henderson Tech Science Press 2019
Predmet:	Algorithms Artificial neural networks Back propagation Bending Collocation methods Deep learning Initial conditions Machine learning Neural networks Partial differential equations Thin plates
ISSN:	1546-2226, 1546-2218, 1546-2226
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