Model Selection Based on BP Neural Network

Model selection is an important component of model management system of decision support systems(DSS).A crucial problem confronting users of DSS is that the present methods of model selection require the users too much.The users are required to have a profound understanding of the models in the model base and the problems to be solved.This leads to poor feasibility of model selection.BP network has applied in model selection after BP network and has been discussed,and he result is calculated and analyzed by using Matlab simulation software,the result shows: the method is effective.