摘要
BackPropagation神经网络是重要的人工神经网络,有强大的非线性映射、自学习、泛化容错能力,并能充分考虑主观因素,具有启发式搜索的特点。主要介绍BP网络算法用JAVA语言的实现方式及其在预测股票价格方面的应用。
Back Propagation as an important artificial neural network,has the ability of strong nonlinear mapping,self-larning and generalization fault tolerance.It can take into account all subjective factors,with a heuristic search feature.This paper introduces the BP network algorithm implemented using JAVA language and its application in stock price prediction.
出处
《机械管理开发》
2012年第1期201-203,共3页
Mechanical Management and Development
关键词
神经网络
人工神经网络
预测
neural network
artificial neural networks
predict
