Study on application of the bp neural network model of main factor analysis of grey relationship in evaluating innovation ability of zone logistics system

The factors that influence on the improvement of the innovation ability in an area are extensive. In order to separate the facilitated function of the logistics from a lot of factors, this paper adopts the analysis method of grey-relationship principle divisor to screen out the evaluation target of the innovation ability of logistics, and establishes the evaluation model of neural network of the innovation ability of zone logistics. The research indicates that this method debases efficiently the complex degree of network caused by multiple target evaluation, improves the precision of input data of network, so that it reduces the error more effectively. Besides, this method doesn´t only evaluate the discretion of innovation ability in different areas, but also can find the reason that causes the differences, through the comparison of each divisor