基于RBF的级差矿利模型构建  

Establishment of Cascade Profit of Mining Resource by radial-based function (RBF) net work

作　　者：王健[1] 张志礼[2] 张绍银 

机构地区：[1]中国科学院地理与资源研究所,北京100101 [2]河北理工学院资源工程系,河北唐山063009 [3]河北省迁安市冶金矿山公司,河北迁安064400

出　　处：《有色矿山》2002年第2期1-3,11,共4页Nonferrous Mines

摘　　要：本文给出了影响级差矿利的因素指标体系 ,构思了求解级差矿利模型的结构 ,分析研究了样本空间 ,并以径向基函数网络为手段求解模型 。In this paper, the factors system that decides the Cascade Profit of Mining Resource (CPMR) is presented, then the structure of the sample space is analyzed and studied. The method of quantifying the influential factors, the classification of indexes and the division of levels are also given. Finally, this thesis makes a farther explanation based on examples and explores a new way for calculating the value of CPMR.

关 键 词：级差矿利模型 神经网络 样本空间 经济模型 

分 类 号：TD801[矿业工程—矿山开采]