Flexible neuro-fuzzy structures for pattern classification

WSEAS Transactions on Computers

Volumn 4, Issue 7, 2005, Pages 679-688

  Cpałka, Krzysztof ^a,b   Rutkowski, Leszek ^a,b  

^a CZESTOCHOWA UNIVERSITY OF TECHNOLOGY   (Poland)

^b Dept of Artificial Intelligence   (Poland)

Author keywords

Fuzzy systems; Neuro fuzzy inference systems; Parameterized triangular norms; Pattern classification; Soft fuzzy norms

Indexed keywords

CONSTRAINT THEORY; FUZZY SETS; INFERENCE ENGINES; LEARNING SYSTEMS; NEURAL NETWORKS; OPTIMIZATION;

FUZZY SYSTEMS; NEURO-FUZZY INFERENCE SYSTEMS; PARAMETERIZED TRIANGULAR NORMS; SOFT FUZZY NORMS;

PATTERN RECOGNITION SYSTEMS;

EID: 22944470224     PISSN: 11092750     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. J. S. Jang, C. T. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing. Prentice Hall, Englewood Cliffs, 1997.
2. N. Kasabov, Foundations of Neural Networks, Fuzzy Systems and Knowledge Engineering. The MIT Press, CA, MA, 550 pages, 1996.
3. E. P. Klement, R. Mesiar, E. Pap, Triangular Norms. Kluwer Academic Publishers, Netherlands 2000.
4. J. M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice Hall PTR, Upper Saddle River, NJ, 2001.
5. D. Nauck, F. Klawon, R. Kruse, Foundations of Neuro-Fuzzy Systems. Chchester, U.K.: Wiley, 1997.
6. D. Rutkowska, Neuro-Fuzzy Architectures and Hybrid Learning. Springer-Verlag 2002.
7. L. Rutkowski (2004), Flexible Neuro-Fuzzy Systems: Structures, Learning and Performance Evaluation, Kluwer Academic Publishers 2004.
8. L. Rutkowski, New Soft Computing Techniques For System Modelling, Pattern Classification and Image Processing. Springer-Verlag 2004.
9. L. Rutkowski, K. Cpalka, "A general approach to neuro-fuzzy systems," The 10th IEEE International Conference on Fuzzy Systems, Melbourne 2001
10. L. Rutkowski and K. Cpalka, Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems, IEEE Trans. on Fuzzy Systems, vol. 13, pp. 140-151,2005.
11. Rutkowski L., Cpalka K., Flexible neuro-fuzzy systems, IEEE Trans. Neural Networks, vol. 14, pp. 554-574, May 2003.
12. UCI respository of machine learning databases, C. J. Mertz, P. M. Murphy. Available online: http://www.ics.uci.edu/pub/ machine-learning-databases.
13. R. R. Yager, D. P. Filev, Essentials of fuzzy modelling and control. John Wiley & Sons, 1994.