摘要
简要分析了自组织特征映射神经网络岩性分类方法的原理及不足,提出了用模糊神经网络实现岩性分类、并结合贝叶斯统计模式识别的岩性识别系统。试算结果表明该系统是可行的,经适当修改完善后,并可用于岩相识别。
After briefly analyzing the theory of self-organizing mapping applied to lithology classification and its limtations, a lithology recognition system based on a fuzzy neural network is proposed combined with the Baysian pattern recognition technique A filed example is used to demon-strate the dependability of this system After adequate modification, this system could be applied for lithofacies recognition.
出处
《江汉石油学院学报》
CSCD
北大核心
1993年第4期40-44,共5页
Journal of Jianghan Petroleum Institute
关键词
测井解释
模糊聚类分析
神经网络
pattern recognition
[lithology recognition]
logging interpretation
fuzzy cluster analysis
neural network
Bayesian decision.
