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Grinding production rate (GPR) is a vital index of grinding process. Getting accurate and timely information of GPR is the premise of enhancing grinding efficiency and conducting optimization control. However, for complexity of grinding process, there is no effective method to on-Line predict GPR. On the basis of soft sensor principle, a new sCheme that applying improved mixed-kernel support vector...
A GA-based feature extraction method was presented for solving non-linear regression questions. The order of regression function is determined by practical experience, so the application of this method is limited. In this paper, the angle measurement method of matrix similarity was used to determine the order of the polynomial space. By doing this, the GA-based feature extraction method became more...
Support vector machines (SVMs), a powerful machine method proposed by Vapnik have made significant achievement in pattern classification and regression estimation. In practice, when we use the method of SVM there exist two problems: the selection of kernel and the selection of parameters. In this paper, we discuss the hybrid kernels and propose a new method to select parameters, which uses genetic...
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