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人工神经网络在白云岩类型识别中的应用
引用本文:蔡煜东,姚林声.人工神经网络在白云岩类型识别中的应用[J].岩石矿物学杂志,1994,13(1):51-54.
作者姓名:蔡煜东  姚林声
作者单位:中国科学院上海冶金研究所
摘    要:利用地球化学数据,运用人工神经网络方法对美国密苏里州东南Bonneterre组(寒武纪)滨海相的白云岩进行了分类、识别,判别率达100%,结果表明,该方法性能良好,可望成为岩石分类、判别的有效手段。

关 键 词:白云岩  类型  神经网络  岩石识别

The Application of the Artificial Neural Network to the Identification of Dolonmites
Cai Yudong,Yao Linsheng.The Application of the Artificial Neural Network to the Identification of Dolonmites[J].Acta Petrologica Et Mineralogica,1994,13(1):51-54.
Authors:Cai Yudong  Yao Linsheng
Abstract:on the basis of geochemical data, dolomites in the offshore facies of the Cambrian Bonneterre Formation were classified and identified by the artifi-cial neural network,with the rate of discrimination reaching 100%.The results show that the neural network approach is fairly satisfactory and might be expected to become an effective technique for the classification and iden-tification of rocks.
Keywords:geochemical data  dolomite  artificial neural network  "back-propagation"model
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