摘要
研究神经网络基于粒子群优化的学习算法,将粒子群优化算法用于神经网络的学习训练,并与遗传算法进行了比较结果表明,神经网络基于粒子群优化的学习算法简单容易实现,而且能更快地收敛于最优解.
A training algorithm for neural network based on particle swarm optimization was investigated. There are some comparison between genetic algorithm and particle swarm optimization algorithm in our experiences. The results show that the training algorithm based on PSO is a good one with strong competitiveness.
出处
《小型微型计算机系统》
CSCD
北大核心
2005年第4期638-640,共3页
Journal of Chinese Computer Systems
基金
国家科技部"九七三"项目(2001CCA00700)资助.
关键词
神经网络
粒子群优化
学习算法
neural networks
training algorithm
particle swarm optimization
