基于BP神经网络的矿山投资项目风险评判

The Evaluation of Risks of Mine Investment Based on BP Neural Network

随着矿山投资热度的提高,人们越来越重视矿山投资项目的风险评判。但矿山投资项目的风险评判相当复杂,传统的回归分析方法并不能取得令人满意的效果。而神经网络方法由于有超强的学习、容错性能,对解决非线性问题的效果较好。因此文章认为用BP神经网络系统对矿山投资项目的风险评判结果是比较理想的。

As the improvement of mining investment, people pay more attention to the risk evaluation. It is very compticated to valuate risks that it can not be satisfying results by traditional regressing methods. But the neural network has strong ability to learn and rectify to resolve non-line questions. Thus we get a perfect answer using BP neural network to evaluate the risks of mining project.