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| A Simulated Annealing AlgorithmBP Network Model for Tandem Cold Rolling Parameter Prediction |
| YANG Jingming,LIU Shuhui,CHE Haijun,SUN Xiaona |
| Institute of Electrical Engineering Yanshan University, Qinhuangdao 066004, Hebei, China |
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Abstract The neural network (NN) models can be used to enhance the prediction of rolling parameters instead of traditional mathematical models.A NN model for tandem cold rolling parameter prediction was designed on the base of rolling theories. Aiming to avoid the disadvantages of the BackPropagation(BP) Algorithm, of which the speed of constringency is lower and the local minimum is easy to be got, a global optimization algorithm called Simulated Annealing Algorithm is used to help the neural network to possess at high speed and precisely.The high speed of constringency, stability and reliability of the method was confirmed by rolling force prediction.
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Received: 01 January 1900
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2008, Vol. 43 
