Fuzzy Set Based Neural Networks: Structure, Learning and Application

Journal of Advanced Computational Intelligence and Intelligent Informatics

Volumn 3, Issue 3, 1999, Pages 151-157

  Caminhas, Walmir ^a   Tavares, Hermano ^b   Gomide, Fernando ^b   Pedrycz, Witold ^c  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b UNIVERSITY OF CAMPINAS   (Brazil)

^c UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Fuzzy neuron models; Learning; Neural fuzzy networks; Pattern classification

Indexed keywords

FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SETS; MEMBERSHIP FUNCTIONS; NEURONS;

FUZZY NEURON MODEL; LEARNING; NETWORK STRUCTURE LEARNING; NEURAL FUZZY NETWORKS; NEURAL NETWORK APPLICATION; NEURAL NETWORK LEARNING; NEURAL NETWORKS STRUCTURE; NEURAL-NETWORKS; NEURON MODELING; PATTERNS CLASSIFICATION;

FUZZY SET THEORY;

EID: 0001123505     PISSN: 13430130     EISSN: 18838014     Source Type: Journal    
DOI: 10.20965/jaciii.1999.p0151     Document Type: Article

References (14)

1. I) J. Bucks and Y. Hayashi. "Fuzzy Neural Networks: A Survey." Fuzzy Ncls and Systems, on. 11.1. (1994)
2. J Bucley and Y Hayashi. "Neural Nets lor Fuzzy Systems." Fuzzy Sets and Systems. 71. 265-276, |IW|.
3. W. Caminhas. H. Tavares and F Ciomidc. "Competitive Learning of Fuzzy. Logical Neural Networks". Proc. of the Sixth International Fuzzy SyfttflM Association World Congress. 6.V)-h42. (1995)
4. W. Caminhas. H. Tavares and F. Gomide. Pattern Classification Using Neurofuzzy and Neural Networks". Proc. of the Information Processing and Management ol Uncertainty in Knowledge-Based Systems. 175-IXO. (1996).
5. W. Caminhas. H. Tavares. and F. Gomide. "A Neurofuzzy Approach for Fault Diagnosis in Dynamic Systems". Prix:, of the Fifth IKEE International Conference on Fuzzy Systems. 2(>32-2(t37. (I99h).
6. h) M. Figueiredo and F. Gomide. "Adaptive Fuzzy Modeling." Proc. of the Sixth IEEE International Conference on Fuzzy Systems. l.Srs.7-1572.(1997).
7. J. Keller. R. Yager. R. and H. Tahani. "Neural Network Implementation of Fuzzy Logic." Fuzzy Sets and System-.. 45. 1-12. (1992).
8. Y. Lin and G. Cunningham. "A New Approach to Fuzzy-Neural System Modeling," IEEE Trans, on Fuzzy systems, 2h-l. 190-198) (1995).
9. C. I in and C. Lee. "Neural-Nctwork-Based Fuzzy Logic Control and Decision System." IEEE Trans, on Computers. 4(1-12. 1320-1336, (1991).
10. HI) K. Nozaki. H. Ishihuchi and II. Tanaka. "Trainable Fuzzy Classiti-cation Systems Based on Fuzzy If-Then Rules." Proc. of the Third IEEE International Conference on Fuzzy Systems. 49B-302, I 1994>
11. 11 M Oliveira, VI Figiieircdo anil I (ioniide. A Ncurotu//y Approach for Autonomous Control." Proc. of the .V International Conference on Fuzzy Logic. Neural Nets and Soft Computing. 597-598. (1994).
12. W. Pcdrycz and F. Gomide. "An Introduction to Fuzzy Sets: Analysis and Design" The MIT Press. (1948)
13. W. Pedrycz. A. Rocha. "Fuzzy- Set Based Models of Neuron and Knowledge-Based Networks." II IF Trans, on Fuzz\ Systems. 1-4. 254-2on. (1993).
14. 1 Wang. "Adaptive Fuzzy Systems and Control." Prentice-Hall. (1994).