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In many problems of classification, the performances of a classifier are often evaluated by a factor (rate of error).the factor is not well adapted for the complex real problems, in particular the problems multiclass. Our contribution consists in adapting an evolutionary method for optimization of this factor. Among the methods of optimization used we chose the method PSO (Particle Swarm Optimization)...
Based on least squares wavelet support vector machines (LS-WSVM) ensemble with quantum particle swarm optimization algorithm (QPSO), a systematic method for fault diagnosis of power circuits is presented. Firstly, wavelet coefficients of output voltage signals of power circuits under faulty conditions are obtained with wavelet lifting decomposition, and then faulty feature vectors are extracted from...
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