摘要
由于地质统计学需对研究变量作出先验假设，极大地限制了它的进一步推广。作者将ＢＰ神经网络方法引入矿体品位估值及储量计算之中，通过对比研究，探讨了该方法的可行性。
The theory and methods of geostatistics must make the trancendental hypotheses for research variable, so this limits geostatistics's application in some degree. BP neural network into grade estimation and reserver computing of mineral deposits was introduced. By constrast research,the probable of this method was discussed.
出处
《地质与勘探》
CAS
CSCD
北大核心
1999年第4期22-24,共3页
Geology and Exploration
关键词
地质统计学
品位估值
储量计算
神经网络
BP算法
geostatistics,grade estimation,reserve computing,neural network, BP algorithm
