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[2] | SUN Jiahao, ZHANG Chaoyong, WU Jianzhao, ZHANG Shuaikun, ZHU Lei. Prediction of weld profile of 316L stainless steel based on generalized regression neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2021, 42(12): 40-47. DOI: 10.12073/j.hjxb.20210526003 |
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[4] | HE Hongwen, ZHAO Haiyan, NIU Wenchong, WANG Peng. A method to measure welding deformation of plate by three dimensional laser scanner[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (12): 9-12. |
[5] | DENG Xin, WANG Chao, WEI Yanhong. Prediction system of mechanical properties of welded joints based on artificial neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (6): 109-112. |
[6] | BAI Shiwu, TONG Lige, LIU Fangming, WANG Li. Artificial neural network to predict toughness parameter CVN of welded joint of high strength pipeline steel[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2008, (1): 106-108,112. |
[7] | TONG Lige, BAI Shiwu, LIU Fangming. Prediction system of CTOD for high strength pipeline steel welded joint based on back propagation artificial neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2007, (8): 96-98. |
[8] | XU Pei-quan, YANG De-xin, ZHAO Xiu-juan, LU Feng-gui, YAO Shun. Application of artificial neural network method in prediction of bend strength of welded joint[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2005, (5): 41-45. |
[9] | YU Xiu-ping, SUN Hua, ZHAO Xi-ren, Alexandre Gavrilov. Weld width prediction based on artificial neural network[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2005, (5): 17-19,45. |
[10] | WANG Zhe-chang, CHEN Huai-ning. Further Discussion on Two Problems of Welding Stress and Deformation[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2002, (5): 69-72. |
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