Use of Engineering Fuzzy Sets, BP Neural Network and Genetic Algorithm for Intelligent Decision-Making

Author

Chen, Shouyu ; Guo, Yu ; Wang, Dagang

Author_Institution

Sch. of Civil Eng. & Archit., Dalian Univ. of Technol.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3052

Lastpage

3056

Abstract

On the ground of fuzzy optimum selection of BP neural network model, the paper introduces genetic algorithm to the model and presents an intelligent decision-making model based on fuzzy optimum selection of BP neural network model and mixed with genetic algorithm. A case proved that the intelligent decision-making model is efficient and robust in determining network topologic structure, accelerating convergence velocity and enhancing the global optimum ability. The intelligent decision-making model is further development of the fuzzy optimum selection of BP neural network model

Keywords

backpropagation; decision making; decision theory; fuzzy set theory; genetic algorithms; neural nets; topology; BP neural network; engineering fuzzy sets; fuzzy optimum selection; genetic algorithm; intelligent decision-making; network topologic structure; Acceleration; Decision making; Fuzzy neural networks; Fuzzy sets; Genetic algorithms; Genetic engineering; Intelligent networks; Intelligent structures; Neural networks; Robustness; BP Neural network; Engineering fuzzy sets; Genetic algorithm; intelligent decision-making;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712927

Filename

1712927