摘要
进一步研究bp算法,给出了一个以逐步增加训练数据和隐节点"为特征的避开局部极小的改进方法.
In this paper a new method in bp algorithm to avoid local minimum was proposed by means of adding gradually training data and hidden units.In addition,the paper also proposed a new model of controllable feed-forward neural network.
出处
《河南大学学报(自然科学版)》
CAS
1999年第1期43-47,共5页
Journal of Henan University:Natural Science
基金
国家自然科学基金
河南省自然科学基金