摘要
在分析ＢＰ神经网络理论的基础上，探讨了ＢＰ神经网络优化训练技术．文中比较了四种训练法，其中自适应调整学习率带冲量项训练法，可大大地提高训练效率，且无振荡现象．
On basis of analyzing the theory of BP neural network, the concrete optimal techniques for training BP neural network are explored. Also is given the comparison among the four kinds of training methods, one of which with adaptive learn rate and momentum has good training efficiency, has no oscillation, and is the optimal training method.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
1998年第7期21-24,共4页
Journal of South China University of Technology(Natural Science Edition)
基金
国家自然科学基金
广东省自然科学基金
关键词
BP神经网络
优化训练法
学习率
冲量项
BP neural network
optimizing train methods
learn rate
momentum
