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Application of the Genetic Neural Network for Predicting Rolling Force of Skin Pass Mill

An Zhengang Li Mouwei Yin Xiandong Yu Ning Tang Wei (University of Science & Technology Beijing) (AISC Cold Rolled Steel Sheet Plant)$$$$  
This paper discusses the artificial intelligence method to set up the rolling force of skin pass mill and establishes the model to predict the rolling force of skin pass mill with the improved commix CA-DP genetic neural network arithmetic. The statistic data from traditional mathematic models and genetic neural network method shows that the genetic neural network method can gets better result that tradition models.
【CateGory Index】: TG334.9
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【Co-references】
Chinese Journal Full-text Database 10 Hits
1 Zhang Zhaoli Zhang Yigang Sun Shenghe (Department of Automatic Test and Control,Harbin Institute of Technology,Harbin 150001 China);Multisensor Data Fusion Based on the Fuzzy Neural Network in NDT[J];Journal of Electronic Measurement and Instroment;2001-01
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7 ZHOU Xiang,CHEN Bingzhen and HE Xiaorong (Department of Chemical Engineering, Tsinghua University, Beijing 100084,China);IMPROVED GENETIC ALGORITHM FOR TRAINING OF BP NEURAL NETWORK[J];Journal of Chemical Industry and Engineering(China);2001-10
8 CHEN Yi - ping(Nanchang Institute of Aeronautical Technology, Nanchang 330034, China), HU De - an, MA Lin, LI Tang - bai.;Neural Network Model for DC Spot Welding of Aluminum - alloy[J];Transactions of The China Welding Institution;2000-04
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【Secondary References】
Chinese Journal Full-text Database 2 Hits
1 LUO Zhen,SHAN Ping,ZHENG Zhen-tai,SHI Tao(School of Material Science and Engineering,Tianjin University,Tianjin 300072,China).;Stable distribution analysis to statistical evaluation of contact resistance in aluminum alloy spot welding[J];Transactions of the China Welding Institution;2006-04
2 LUO Zhen,LI Qing-song,SHAN Ping,LIU Peng-fei (School of Material Science and Engineering,Tianjin University,Tianjin 300072,China);Identification of Chaos Time Series of Acoustic Emission Signals from Resistance Spot Welding Process Based on Lyapunov Exponent[J];Journal of Tianjin University;2007-06
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