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Application of RBF for Strip Shape Recognition

Authors:Xu Zhe, Beijing University of Technology, China
Lu Yanling, Beijing University of Technology, China
Qiao Junfei, Beijing University of Technology, China
Duan Jianmin, Beijing University of Technology, China
Topic:3.2 Cognition and Control ( AI, Fuzzy, Neuro, Evolut.Comp.)
Session:Intelligent Modelling and Identification I
Keywords: Strip Shape, Pattern Recognition, RBF,BP,Improved LSM

Abstract

Abstract: Based on radial basis function neural network (RBF NN), the paper proposed a new algorithm for strip shape recognition. Compared with back propagation (BP) algorithm and improved least squares method (LSM), RBF NN shows excellent overall performance in simulation, such as learning speed, recognition precision and anti-interference capability. Copyright © 2005IFAC