基于BP网络算法的矿产资源评价方法

A method for mineral resource estimation based on BP algorithm

介绍了将BP网络算法应用于矿产资源评价的基本原理和算法步骤,通过对研究区单元的划分和选择,并根据对已知成矿模式的类比研究,确定影响成矿的特征变量因子,利用BP网络算法对训练样本进行学习达到变量间的非线性映射,确定评价模型,进而对评价样本进行评价,得出预测单元的评价效果。

A method for deposit resource estimation based on BP algorithm is proposed in this paper. The basic theory and algorithm steps are introduced.Based on the analogous research of the known metallogenic modes, through the partition and selection of cells of researching area, factors needed in the estimation are confirmed. The nonlinear map among variables and the estimation model is ascertained by studying the sample through BP algorithm, then the predicted cells were estimated and the estimation results were obtained.