摘要
讨论在三层BP网络中如何调整结构及改进算法以满足实际应用等问题,从输入层结构、隐层神经元确定、对输入量要求、学习速率调整和激活函数改进方面进行分析,采用输入集归一化、学习速率自适应等改进措施改善网络性能。
The issue of modifying a typical BP neural network in a practical way to meet various requirements is discussed. The structure of input layer,the number of implicit layer units,the request of input,the study of velocity and the deliver of function, etc, are analyzed. With the ameliorations, the capability of the network is improved.
出处
《上海海事大学学报》
北大核心
2005年第2期64-66,共3页
Journal of Shanghai Maritime University
关键词
人工神经网络
BP算法
神经网络应用
artificial neural network
BP algorithm
application of neural network
