摘要
硅化/硅化岩石是锡矿山锑矿的一种很有效的找矿标志。因此,如何正确地识别硅化岩石与原岩,以及硅化的强弱对于找矿有着重要意义。将人工神经网络模型引入锡矿山硅化灰岩识别的研究中,识别成功率达到93.3%。结果表明,该方法简便实用,性能良好,可望成为岩石,矿物识别的一种有效的辅助手段。
Silicify or silicified rock is one more efficacious sign for exploring mine in Xikuangshan antimony deposit.So it has more important significance that how to recognize silicified rock from host rock and the extent of silicify.The paper firstly applied artificial neural network to recognize the pattern of silicified limestone, with the rate of success reaching 93.3%. The results show that artificial neural network approach is objective, quite satisfactory and tendency might serve as an effective technique for recognition of rocks and minerals.
出处
《地质与勘探》
CAS
CSCD
北大核心
1999年第6期52-54,共3页
Geology and Exploration
关键词
硅化灰岩
识别
人工神经网络
锡矿山
锑矿
silicified limestones artificial neural network
back propagation algorithm
Xikuangshan
