基于主成分分析法的采矿方案优化选择

鉴于影响采矿方法选择各因素众多，且各因素之间往往具有相关性。因此，有必要对影响采矿方法各个因素综合，剔除具有相关性的因子。主成分分析方法能较大程度地对影响采矿方法各因素进行综合，使其相关程度减少，从而较好地选择采矿方案。尤其是数理统计理论及计算机的发展，如何快速准确对各因素间的采矿方案选择成为目前现有采矿优选理论的发展趋势。将统计学软件SPSS运用于采矿方案优选这一实践中，其在一定程度上能节约矿山人力成本。实践证明，该理论的运用不仅能为矿山采矿方案的选择提供一定的依据，还可为矿山同类工程提供一定的参考价值。

The Optimization Options of the Mining Program Based on Principal Component Analysis

Considering various factors affecting mining method selection and the factors always have autocorrelation, it＇ s necessary to integrate the information of the factors to exclude correlated factors. The principal component analy- sis method can integrate the information of various factors greatly to reduce the degree of correlation, thus it is better to choose the mining plan. Especially with the development of the mathematical statistics theory and the computer, how to select mining scheme accurately when there is various factors becomes the development trend of the existing mining optimization theory. The paper applies the statistical software SPSS to mining program in the preferred prac- tice ,to some extent, which saves mining technicians energy. The practice has proved that the use of the theory not only provides a basis for the mine scheme selection, but also provides a reference value to the similar project in mine.