期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2011
卷号：1
期号：3
页码：80-84
出版社：International Journal of Soft Computing & Engineering
摘要：this paper proposes a particle swarm optimization (PSO) based optimization technique for Artificial Neural Network weights optimization for speaker recognition. PSO is a search algorithm, in which each potential solution is seen as a particle with a certain velocity flying through the problem space. The particle swarms find optimal regions of the complex search space through the interaction of individuals in the population. PSO is attractive for optimization in that particle swarms will discover best optimized value as they fly within the subset space. Combining the ANN and PSO algorithms improves the performance as compared to that ANN alone.
