文件名称:PSO-SVM
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改进PSO-SVM在说话人识别中的应用。通过对粒子群优化算法中惯性权重和全局最优值
的分析，提出了一种根据迭代次数而自适应变化的惯性权重的粒子群优化方法-Improvement in the PSO-SVM speaker recognition applications. Through particle swarm optimization algorithm in the inertia weight and the analysis of the global optimum value, a number of iterations in accordance with changes in the adaptive inertia weight particle swarm optimization method
的分析，提出了一种根据迭代次数而自适应变化的惯性权重的粒子群优化方法-Improvement in the PSO-SVM speaker recognition applications. Through particle swarm optimization algorithm in the inertia weight and the analysis of the global optimum value, a number of iterations in accordance with changes in the adaptive inertia weight particle swarm optimization method
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PSO-SVM.pdf