微粒群优化神经网络算法的研究

Research on the Application of PSO(Particle Swarm Optimization) Optimized NN(Neural Network) Algorithm

介绍了微粒群算法的基本原理、特点,分析了常用的BP网络结构,提出了微粒群优化神经网络算法,实验结构表明,该算法优化了神经网络结构,从而提高了神经网络的模式分类性能。

This paper introduces principle and characteristics of PSO algorithm,analyses frequently-used BP network structure,and puts forward a PSO optimized NN algorithm.The experiment results show that this algorithm optimizes NN structure and thus enhances pattern classification performance of NN.