%0 Journal Article
%T A HYBRID NEURAL NETWORK TRAINING ALGORITHM BASED ON GENETIC ALGORITHM AND BP ALGORITHM<br>基于遗传算法和BP算法的多层感知机杂交训练算法
%A Mu Wenquan
%A Liao Xiaofeng
%A Yu Juebang
%A <br>穆文全
%A 廖晓峰
%A 虞厥邦
%J 电子与信息学报
%D 1997
%I 
%X Neural network BP training algorithm based on gradient descend technique may lead to entrapment in local optimum so that the network inaccurately classifies input patterns. This paper presents a hybrid training algorithm GA-QP combined to genetic algorithm with BP algorithm. Experiments show that the hybrid algorithm outperforms BP algorithm. Satisfactory experimental results are obtained.
%K Neural network
%K Hybrid training algorithm
%K Genetic algorithm
%K Quickprop algorithm
%K BP algorithm<br>神经网络
%K 杂交训练算法
%K 遗传算法
%K QP算法
%K BP算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=AE662AD9623361E0A316BC8C240396E2&yid=5370399DC954B911&vid=2A8D03AD8076A2E3&iid=0B39A22176CE99FB&sid=6235172E4DDBA109&eid=5D9D6A8FC2C66FD8&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=11