Research on auto selection of models in intelligent decision support system

被引：0

作者：

Chu, HX ^{[1
]}

Liu, X

Wang, KJ

Li, Y

机构：

[1] Harbin Engn Univ, Dept Automat, Heilongjiang 150001, Peoples R China

[2] Harbin Univ Sci & Technol, Grad Dept, Heilongjiang 150001, Peoples R China

来源：

System Simulation and Scientific Computing, Vols 1 and 2, Proceedings | 2005年

关键词：

model; model base; auto selection; BP neural network;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Selection of models is involved in he key techniques of model management. In this text we research on the auto selection of IDSS (intelligent decision supporting system) modelling frames by means of artificial neural networks. We present the overall framing chart of auto model selection and describe detailedly process of design on Neutral Network. Furthermore, we make selection in tendency evaluating models with BP neural networks, which has been improved by adding momentum gene and adaptive learning speed. We also show the flow of algorithm realization. Through simulative analysis of instances, we've achieved preferable effects and have presented the result.

引用

页码：183 / 187

页数：5