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。
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.
出处
《岩石矿物学杂志》
CAS
CSCD
1994年第1期51-54,共4页
Acta Petrologica et Mineralogica
关键词
白云岩
类型
神经网络
岩石识别
geochemical data
dolomite
artificial neural network
“back-propagation”model
