Study for Evaluation Method Based on Neural Networks

In human social life, it is often need to make comprehensive evaluation for person, thing , or a project to carry on the classification or evaluation. Analytic hierarchy process is relatively common and the most simple evaluation model. It draw up a series of evaluation index according to the evaluation object. The index may contain multiple child index, according to the relationship between the indexes or artificial factors to determine tie index weight, and get the overall evaluation for objects. The artificial factor is too much, it can not objectively reflect the real situation of the evaluation object. This paper proposed a evaluation method based on neural networks, based on the indexed of the analytic hierarchy process, through using the expert evaluation samples, by the BP neural network to study, so as to get the objective weight of the indexes, and then reflect the real situation of the evaluation objects.