基于MATLAB的BP神经网络计算铁矿产品成本

The technique of calculating the cost of iron products based on MATLAB backpropagation neutral network

根据影响铁矿产品成本的指标构建了BP神经网络模型,应用MATLAB工具直接根据资源状况和生产状况来估算矿产品成本,对神经网络在矿产品成本计算中的应用作了新的尝试。

In this paper, the factors that decide the cost of iron product is presented and quantified. The structure of samples space is analyzed and the method of quantifying the influential factors is given. The backpropagation neutral network is found and trained. And at last the BP network gets a satisfactory result.