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In the paper, a vehicle recognition model based on LSSVM is presented. In the model, the non-sensitive loss function is replaced by quadratic loss function and the inequality constraints are replaced by equality constraints. Consequently, quadratic programming problem is simplified as the problem of solving linear equation groups, and the SVM algorithm is realized by least squares method. It is presented...
In fault diagnosis practice of recent years, the neural networks obtain many harvests, but it has a lot of questions in network structure selecting and network training. In the paper, the power spectrum of fault signals are decomposed by wavelet analysis, which predigests choosing method of fault eigenvectors, and a fault diagnosis model based on least squares support vector machine (LSSVM) is presented...
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