Application of Principal Component Analysis and Neural Network on the Information System Evaluation

The evaluation of information system is a complex system. Domestic and foreign scholars generally agreed that the evaluation of information system is a difficult task. In this paper, we combined the principal component analysis (PCA) and neural network (NN) in order to evaluate the information system. Using principal component analysis to extract availability information and to solve a principal component, we developed neural network model of information system evaluation with the principal component. After empirical research with MATLAB7.0, it is had been proved that the method is validity and practicality. And then it did not only overcome the traditional methodspsila shortcoming which is too subjective, but also avoided complex process of the traditional information system evaluation.