New Methods for Designing and Reduction of Neuro-Fuzzy Systems

• Autorzy: Cpałka K.
• Języki publikacji: EN

Abstrakty

EN

In the paper, we propose novel methods for designing and reduction of neuro-fuzzy systems without the deterioration of their accuracy. The reduction and merging algorithms gradually eliminate inputs, rules, antecedents, and the number of discretization points of integrals in the center of area defuzzification method. Our algorithms have been tested using well known classification benchmark.

Słowa kluczowe

EN

algorithm of best global eliminations; algorithm of best local eliminations; consecutive eliminations algorithm; consecutive mergings algorithm; interpretability; logical approach; neuro-fuzzy system

• Wydawca: Społeczna Akademia Nauk w Łodzi
• Czasopismo: Journal of Applied Computer Science Methods
• Rocznik: 2010
• Tom: Vol. 2 No. 2
• Strony: 113--126
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Cpałka K.

• IT Institute, Academy of Management, Lodz, Poland

Bibliografia

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• 4. Casillas J., Cordon O., Herrera F. and Magdalena L , 2003, Interpretability Issues in Fuzzy Modeling, Springer.
• 5. Cpałka K., 2009, A New Method for Design and Reduction of Neuro Fuzzy Classification Systems, IEEE Transactions on Neural Networks, vol. 20, no. 4, pp. 701–714.
• 6. Cpałka K., Rutkowski L., 2006, A New Method for Designing and Reduction of Neuro-Fuzzy Systems, 2006 IEEE International Conference on Fuzzy Systems, IEEE World Congress on Computational Intelligence, Vancouver, BC, Canada.
• 7. Czogała E., Łęski J., 2000, Fuzzy and Neuro-Fuzzy Intelligent Systems, Physica-Verlag, A Springer-Verlag Company, Heidelberg, New York.
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