大庆石油地质与开发2011，Vol.30Issue(3)：159-163,5.DOI:10.3969/J.ISSN.1000-3754.2011.03.034
应用粗集神经网络系统识别火山岩岩性
LITHOLOGIC IDENTIFICATION OF VOLCANIC ROCKS THROUGH THE APPLICATION OF THE ROUGH SET NEURAL NETWORK SYSTEM
摘要
Abstract
Aiming at the complex lithology of volcanic rocks and the great difficulty in lithologic identification, the lithologic identification of volcanic rocks is conducted through the application of rough set neural network system and log information. First, the log information is optimized and reduced according to the Rough Set. And then a sample set is established by applying the optimized information. Meanwhile the study is conducted by applying the BP neural network based on LM ( Levenberg-Marquardt ) algorithm. The result of the lithologic identification of volcanic rocks through the application of the characteristic parameters and trained BP neural network shows that this method has the advantage of being quick and steady with the relatively high identification accuracy.关键词
粗集理论/BP神经网络/火山岩/测井Key words
Rough Set/ BP neural network/ volcanic rock/ log分类
能源科技引用本文复制引用
金明玉,文政,赵志伟..应用粗集神经网络系统识别火山岩岩性[J].大庆石油地质与开发,2011,30(3):159-163,5.基金项目
国家973计划项目(20097CB219307)资助. （20097CB219307）
