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Magnetic Flux Leakage Quantitative Identification of Micro Crack Based on GA-BP Neural Network
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About Qiu Zhongchao
About School of Mechanical Engineering,Beijing Institute of Technology, Advanced Manufacture Technology Center,China Academy of Machinery Science&Technology
About Zhang Weimin
About School of Mechanical Engineering,Beijing Institute of Technology
About Zhang Ruilei
About Hebei Aerospace Environmental Engineering Co.,Ltd
About Yu Xia
About Navigation and Control Technology Research Institute,China North Industries Group Corporation
About Chen Guolong
About School of Mechanical Engineering,Beijing Institute of Technology
Material：
About Beijing Ligong Daxue Xuebao
Volume： 36 Issue： 11 Page： 1101-1104,1121 Publication year： 2016
JST Material Number： W0652A ISSN： 1001-0645 CODEN： BLXUEV Document type： Article
Article type： 原著論文 Country of issue： China (CHN) Language： CHINESE (ZH)
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Keywords indexed to the article.
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On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
About noise (signal)
About optimization
About magnetic dipole
About neural network (biomodel)
About algorithm
About crack
About interference
About genetic algorithm
About microcrack
About theoretical calculation
About back propagation neural network
About modification
About evolutionary computation
About magnetic flux leakage
About genetic algorithm(GA)
About back propagation(BP)
About neural network
About micro crack
About quantitative identification
Category name(code) classified by JST.
About Nondestructive testing
Keywords automatically extracted from the title.
About 定量
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