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A Model to Predict Rolling Force of Finishing Stands with RBF Neural Networks
Authors:YING Yu-sheng  WANG Jing-cheng  CHEN Chun-zhao
Abstract:In view of intrinsic imperfection of traditional models of rolling force, in ord er to improve the prediction accuracy of rolling force, a new method combining radial basis function(RBF) neural networks with traditional models to predict rolling f orce was proposed. The off-line simulation indicates that the predicted results are much more accurate than that with traditional models.
Keywords:radial basis function(RBF) neural networks  prediction of rolling force  finishi ng rolling
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