摘要
人工神经网络近年来发展十分迅速，因其自身理论方法的不同，在解决各种工程问题上都有别于其它方法，有其独特的成效。本文应用BP网络和RBF网络于石油测井解释中的岩性识别方面，分析了其预测效果，以及网络的构建方法及应用范围。得出两种网络在岩性识别方面上具有的简单实用价值。
Artificial neural network has developed rapidly in recent years because it has its own theoretical methods and is different from other meth- ods in solving all kinds of engineering problems.The paper analyzes the forecast effect of BP network and RBF network in lithological dis- crimination,network construction method and application field.It is found out that these two kinds of network are simple and have practical value in lithological discrimination.
出处
《国外测井技术》
2008年第4期47-49,共3页
World Well Logging Technology
关键词
神经网络
BP网络
RBF网络
岩性识别
测井解释
neural network
BP network
RBF network
lithological discrimination
well logging interpretation
