High-quality network model requests input or output factor irrelevant as far as possible in order to achieve the prediction model which has higher accuracy.An optimization model for mining was set up by using combination method of principal component analysis and neural networks,with the model.the principal components analysis of input-data of neural networks was make.The results show that through the method,the deficiencies were solved of lower output-data accuracy which was due to input-data relevant,during the process of using BP networks to optimize mining method in the past,thus the input...
