Optimization of mining methods based on combination of principal component analysis and neural networks

Based on the fact that the deficiencies of neural networks predict mining method,the optimization model of mining methods was set up combining principal component analysis with neural networks.The results show that using the principal component analysis can reduce input-data,eliminate the defect which is due to BP network input data too much influencing the data-processing speed.Combining principal components analysis with neural networks to optimize mining method can make the prediction accuracy improve greatly.