Prediction of Modulus of Composite Materials by BP Neural Network Optimized by Genetic Algorithm

Prediction of Modulus of Composite Materials by BP Neural Network Optimized by Genetic Algorithm

In order to reduce the cost of testing and shorten the design cycle, this paper studies the prediction method of the modulus of resin matrix composites based on the machine learning method. Using a new prediction method — the neural network in combination with the genetic algorithm (GA-A...

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Bibliographic Details
Main Author: WANG Zhuoxin, ZHAO Haitao, XIE Yuehan, REN Hantao, YUAN Mingqing, ZHANG Boming, CHEN Ji’an
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2022-10-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
machine learning
back propagation (bp) neural network
genetic algorithm
composite material modulus
adam algorithm
Online Access:http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-10-1341.shtml

Internet

http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-10-1341.shtml

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