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| Application of RBF Neural Networks to Prediction of Rolling Force of Tandem Cold Mill |
| ZHANG Junming1,2,LIU Jun2,KANG Yonglin1,YANG Quan3 |
| 1. School of Materials Science and Engineering， University of Science and Technology Beijing， Beijing 100083， China；2. Angang Co., Ltd., Anshan Iron and Steel Group Corporation, Anshan 114011, Liaoning, China； 3. School of Mechanical Engineering， University of Science and Technology Beijing， Beijing 100083， China |
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Abstract In view of intrinsic imperfection of traditional models of rolling force, in order to improve the prediction precision of rolling force of tandem cold mill, a sort of artificial neural networks with RBF algorithm was used to predict yield stress of cold rolled steel strip，and then this value was used to calculate rolling force with traditional mathematical model; and then the stand network（RBF type）, speed network(RBF type) were combined to correct calculated rolling force. Application of this method indicated that it has a final error within ±6.5%.
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Received: 01 January 1900
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2007, Vol. 42 
