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[43682] Artykuł:

Analysis of fuzzy cognitive maps with multi-step learning algorithms in valuation of owner-occupied homes

Czasopismo: 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 6-11 July 2014, Beijing, China   Strony: 1029-1035
ISSN:  1544-5615
ISBN:  978-1-4799-2072-3
Wydawca:  IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Opublikowano: 2014
Seria wydawnicza:  IEEE International Fuzzy Systems Conference Proceedings
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Procent
udziału
Liczba
punktów
Katarzyna Poczęta orcid logoWEAiIKatedra Systemów Informatycznych *507.50  
Aleksander Iwanowicz Jastriebow orcid logoWEAiIKatedra Systemów Informatycznych *507.50  

Grupa MNiSW:  Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science)
Punkty MNiSW: 15
Klasyfikacja Web of Science: Proceedings Paper


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Keywords:

Fuzzy Cognitive Maps  Multi-step Learning Algorithms  Gradient Method  Nonlinear Hebbian Learning  Decision Support System 



Abstract:

In the paper some analysis of multi-step learning algorithms for fuzzy cognitive map (FCM) is given. FCMs, multi-step supervised learning based on gradient method and unsupervised one based on nonlinear Hebbian learning (NHL) algorithm are described. Comparative analysis of these methods to one-step algorithms, from the point of view of the speed of convergence of learning algorithm and the influence on the decision support system for the valuation of owner-occupied homes was performed. Simulation results were obtained with the use of ISEMK (Intelligent Expert System based on Cognitive Maps) software tool. The results show that the implementation of the multi-step technique gives certain possibilities to get quicker values of target FCM relations and improve the operation of the learned system.