摘要
用山西赵庄１６０３孔测井资料作样本，应用反向传播（ＢＰ）神经网络进行处理，以达到自动识别岩性的目的；并对选择网络结构参数、学习样本等作了简要介绍，以此样本作为标准来预测潘庄０６０１孔测井相所对应的地质相特征，预测结果令人满意。
his paper begins with an introduction on the development condition of ANN(Artificial Neural Network), the theory foundation, structure and it's learning algorithm. Then we use one example to show how to build up a BP(Back Propagation) ANN and it's application in lithologic identification. At last we analyse the ANN identification and lithologic forecast results. In this paper we have given an original method in the field of geophysics.
出处
《煤田地质与勘探》
CAS
CSCD
北大核心
1994年第6期56-61,共6页
Coal Geology & Exploration
关键词
神经网络
岩性识别
测井
rtificial neural
neural networks
lithologic logging
