Automation Selection in of model based on integration of Expert System and Neural Network
Feng Qin Yu · Ha'erbin gongye daxue xuebao · 2001
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 user 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. Presents a good combination of theory with method for automatic selection of model based on integration of expert system with artificial neural networks which is divided into, model class selection and model structure selection the use of an expert system technology to select model class and the use of an artificial neural network for automatic selection of model structure the artificial neural network method consisting of learning and working in particular and concludes from experimental results that what is proposed is an effective approach.