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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Bibliographic Details

Published in:	Computers, materials & continua Vol. 59; no. 2; pp. 433 - 456
Main Authors:	Guo, Hongwei, Zhuang, Xiaoying, Rabczuk, Timon
Format:	Journal Article
Language:	English
Published:	Henderson Tech Science Press 2019
Subjects:	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
Online Access:	Get full text
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