Research on flatness recognition based on M-SVMs

In this paper,a Multi-Classification SVMs classifier in terms of the theory of SVM is presented and which can tell the various properties of panel surface.The sample data is obtained by preprocessing the data which is measured through the flatness detector in the cold-rolled operation.Using the supervised method of"one-class-against-the-rest" to train Multi-Classification SVMs classifier.Finally,testing the performance of classifier by test data.The simulation results show that the proposed method performs high recognition rate in processing little sample data and has good ability of generalization.To the flatness recognition,this is a new researched method.