DocumentCode
3470819
Title
An Integrated Framework for Learning Fuzzy Cognitive Map using RCGA and NHL Algorithm
Author
Zhu YanChun ; Zhang Wei
Author_Institution
Sch. of Econ. & Bus. Adm., Beijing Normal Univ., Beijing
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
5
Abstract
The methodology of developing fuzzy cognitive map (FCM) still exhibited weaknesses. This paper investigated a hybrid framework for learning FCM, which was combined of the real-coded genetic (RCGA) algorithm and nonlinear Hebbian learning (NHL) algorithm. This approach combined the synergistic theories of neural networks and fuzzy logic. The hybrid algorithm is introduced, presented and applied successfully in real-world problems of partner selection.
Keywords
Hebbian learning; cognitive systems; fuzzy logic; genetic algorithms; neural nets; fuzzy cognitive map; fuzzy logic; neural networks; nonlinear Hebbian learning algorithm; partner selection; real-coded genetic algorithm; Collaboration; Data mining; Finance; Flowcharts; Fuzzy cognitive maps; Fuzzy logic; Genetic algorithms; Hebbian theory; Mathematical model; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.2527
Filename
4680716
Link To Document