人工神经网络在矿石体重回归中的应用

在矿石储量计算过程中，准确计算矿石体重是影响矿体储量的一个重要因素。将人工神经网络理论引入矿石体重回归之中，并利用部分实际数据进行了传统线性回归方法与ＢＰ神经网络的对比研究。研究结果表明，神经网络方法完全可用于矿石体重回归分析之中

The Application of Artificial Neural Network In Regression Analysis of Ore Weight

The accurate ore weight is very important for computing of reserver. In this Paper, we introduct the theory of artifical neural network into regression of ore weight, and use some actual data to do the contrast research between BP neural network and the traditonal linear regression. the research result indicates that Artifical Neural Network can be compoletely used in the ore weight regression analysis.