计算机工程与应用2016，Vol.52Issue(11)：7-10,25,5.DOI:10.3778/j.issn.1002-8331.1407-0164
改进的人工蜂群算法在神经网络中的应用
Application of improved artificial bee colony algorithm in neural net-
work
冷昕 1张树群 1雷兆宜1
作者信息
- 1. 暨南大学 信息科学与技术学院,广州 510632
- 折叠
摘要
Abstract
An artificial bee colony algorithm based on foraging behavior of honeybee swarms is proposed to improve the traditional BP neural network algorithm. The developed algorithm has the characters of both heuristic bionics and swarm intelligence. It is a global optimum algorithm and convenient for practical use. The proposed algorithm is used to optimize the weight value of BP neural network and the obtained results show that the algorithm really improves both the precision and the convergence rate.关键词
反向传播(BP)神经网络/人工蜂群算法/自适应Key words
Back Propagation(BP)neural network/artificial bee colony algorithm/adaptive分类
信息技术与安全科学引用本文复制引用
冷昕,张树群,雷兆宜..改进的人工蜂群算法在神经网络中的应用[J].计算机工程与应用,2016,52(11):7-10,25,5.
