粒子群优化算法在计算机神经网络中的应用  

Particle swarm optimization algorithm in computer application of neural network

作　　者：丁玲[1] 范平[1] 闻彬[1] 

机构地区：[1]湖北科技学院计算机科学与技术学院,421009

出　　处：《电子测试》2013年第9期39-41,共3页Electronic Test

摘　　要：粒子群优化算法是一种新型的计算技术,具有全局优化的优势,因而被广泛的应用于优化函数和计算机神经网络中。本文将对粒子群优化算法的产生和发展以及其在神经网络中的应用进行论述,同时对粒子群优化算法的未来发展趋势进行展望。Particle swarm optimization algorithm is a new type of computing technology, with the advantages of global optimization, which is widely applied in the optimization function of neural network and computer. This article on the produce and development of particle swarm optimization algorithm and its application in neural network is discussed, and the trend of future development of particle swarm optimization algorithm was discussed.

关 键 词：粒子群优化算法 计算机神经网络 应用 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]