Topology optimization based on deep representation learning (DRL) for compliance and stress-constrained design

标题
Topology optimization based on deep representation learning (DRL) for compliance and stress-constrained design
作者
关键词
-
出版物
COMPUTATIONAL MECHANICS
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-05-26
DOI
10.1007/s00466-020-01859-5

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