摘要
误差反向传播学习网络是目前运用最广、实现途径最直观的一种神经网络,而且是已知的非线性映射能力最强的一种神经网络模型之一。它在模式识别、知识发现、模式分类等方面具有很强的功能。在地学研究中,误差反向传播学习网络模型可以很好地模拟致矿地质因素与成矿的复杂非线形映射关系。
Error Back-propagation learning network is one of the widest application and simplest completion network,and one of the strongest nonlinear mapped capability neural network at present.There is very strong function in the pattern identifying、 knowledge discovering、pattern classifying.Error Back-propagation learning network model can simulate well the nonlinear mapped relation between growing mine factors and complications.
出处
《软件导刊》
2007年第11期29-30,共2页
Software Guide
关键词
BP神经网络
数据挖掘
模式分类
BP neural network
Data mining
Pattern classification
