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首页|期刊导航|中国铸造|I-DCGAN and TOPSIS-IFP:A simulation generation model for radiographic flaw detection images in light alloy castings and an algorithm for quality evaluation of generated images

I-DCGAN and TOPSIS-IFP:A simulation generation model for radiographic flaw detection images in light alloy castings and an algorithm for quality evaluation of generated images

Ming-jun Hou Jian-xin Zhou Hao Dong Xiao-yuan Ji Wen-bing Zou Xiang-sheng Xia Meng Li Ya-jun Yin Bao-hui Li Qiang Chen

中国铸造2024,Vol.21Issue(3):239-247,9.
中国铸造2024,Vol.21Issue(3):239-247,9.DOI:10.1007/s41230-024-3094-x

I-DCGAN and TOPSIS-IFP:A simulation generation model for radiographic flaw detection images in light alloy castings and an algorithm for quality evaluation of generated images

I-DCGAN and TOPSIS-IFP:A simulation generation model for radiographic flaw detection images in light alloy castings and an algorithm for quality evaluation of generated images

Ming-jun Hou 1Jian-xin Zhou 1Hao Dong 1Xiao-yuan Ji 1Wen-bing Zou 2Xiang-sheng Xia 3Meng Li 2Ya-jun Yin 1Bao-hui Li 4Qiang Chen3

作者信息

  • 1. State Key Laboratory of Materials Processing and Die & Mould Technology,Huazhong University of Science and Technology,Wuhan 430074,China
  • 2. Xinjiang Technology(Jiangsu)Co.,Ltd.,Nantong 226100,Jiangsu,China
  • 3. Southwest Technique and Engineering Research Institute,Chongqing 400039,China
  • 4. Shanghai Spaceflight Precision Machinery Institute,Shanghai 201600,China
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摘要

关键词

light alloy casting/flaw detection image/generator/discriminator/comprehensive evaluation index

Key words

light alloy casting/flaw detection image/generator/discriminator/comprehensive evaluation index

分类

信息技术与安全科学

引用本文复制引用

Ming-jun Hou,Jian-xin Zhou,Hao Dong,Xiao-yuan Ji,Wen-bing Zou,Xiang-sheng Xia,Meng Li,Ya-jun Yin,Bao-hui Li,Qiang Chen..I-DCGAN and TOPSIS-IFP:A simulation generation model for radiographic flaw detection images in light alloy castings and an algorithm for quality evaluation of generated images[J].中国铸造,2024,21(3):239-247,9.

基金项目

This research was funded by the National Key R&D Program of China(2020YFB1710100),and the National Natural Science Foundation of China(Nos.52275337,52090042,51905188). (2020YFB1710100)

中国铸造

OACSTPCDEI

1672-6421

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