会议专题

Prediction of Large Gold Deposits and Bilateral Select Stepwise Regression

In order to establish a predictive model of big gold deposits in China, we consider 4 dependent variables in relation to the size of ore deposits, 54 geological variables as independent ones and 40 model units. By means of bilateral select stepwise regression, the predictive model is formed, and the favorbilities of 65 predicted units in China are calculated. Finally, 9 unites are defined as prospective target areas of the first order.

Yiheng Yang Yan Han Ruiting Wang

Beijing information technologic university, Beijing 100085, China Imstitute of mathematics, Jilin University, Changchun 13006, China

国际会议

The 12th Conference of the International Association for Mathematical Geology(第12届国际数学地质大会)

北京

英文

144-146

2007-08-26(万方平台首次上网日期,不代表论文的发表时间)