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
摘要
关键词
light alloy casting/flaw detection image/generator/discriminator/comprehensive evaluation indexKey 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)