基于遗传BP算法的神经网络及其在模式识别中的应用  

Neural Network Based on GA-BP Algorithm and Its Application in the Pattern Recognition

作　　者：王英健[1] 戎丽霞[1] 

机构地区：[1]长沙理工大学,湖南长沙410076

出　　处：《长沙交通学院学报》2005年第1期53-56,共4页Journal of Changsha Communications University

摘　　要：介绍了传统的遗传算法与BP算法,并分析了它们的不足。提出了一种将遗传算法和BP算法相结合的遗传BP算法,在遗传算法的群体设计中采用小生境技术,防止优秀个体早期退化。实验证明了此方法的正确性和有效性。In this paper, the principle and characteristics of genetic algorithm and BP algorithm are (introduced). Their disadvantages are analyzed. A new algorithm combining the genetic algorithm and back propagation algorithm is proposed. In genetic algorithm, the niche technology is applied to avoid early (degeneration) of a excellent network. The experiment illustrates that the new algorithm has higher (efficiency).

关 键 词：BP算法 遗传算法 小生境技术 神经网络 模式识别 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]