Abstract:In order to realize the quantitative prediction of nonmetallic mineral resources in the open air, a three-dimensional quantitative prediction model of nonmetallic mineral resources is established by combining theoretical analysis with big data mining algorithm on the basis of computer technology under the guidance of geological theory. Collect geological data, simulate resource distribution state through binomial distribution model, count the expected number of ore spots and corresponding function relationship, extract data characteristics, complete data association analysis, build spatial attribute database, process data by amplitude adjustment, eliminate information error, reduce data loss, train sample data to calculate the prior probability of quantitative prediction model, and obtain ore control factors and importance evaluation indicators, The final quantitative prediction results are obtained. The experiment part proves that the proposed model has high prediction accuracy, and the 3D visualization results can clearly show the location of mineral resources, which is of high application value.
