Neural networks, qualitative-fuzzy logic and granular adaptive systems

IEEE International Conference on Fuzzy Systems

Volumn 1, Issue , 2002, Pages 566-571

  Lin, T Y ^a  

^a SAN JOSE STATE UNIVERSITY   (United States)

Author keywords

Adaptive system; Granular; Neural network; Qualitative fuzzy logic

Indexed keywords

GRANULAR ADAPTIVE SYSTEMS; UNIVERSAL APPROXIMATORS;

ADAPTIVE SYSTEMS; APPROXIMATION THEORY; DIFFERENTIAL EQUATIONS; FUZZY SETS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; THEOREM PROVING;

ARTIFICIAL INTELLIGENCE;

EID: 0036460225     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

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2. Kosko, B Neural Networks and Fuzzy Systems, Prentice Hall 1992
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8. Lin,T. Y., "Rough-Fuzzy Controllers for Complex Systems," EPRI Technical Report 110548, June, 1998
9. Lin,T. Y., "The Power and Limit of Neural Networks," in: Proceedings of the 1996 Engineering Systems Design and Analysis Conference, Montpellier, France, July 1-4, 1996, Vol. 7, 49-53.
10. LinT. Y., "A Set Theory for Soft Computing," Proceedings of 1996 IEEE International Conference on Fuzzy Systems, New Orleans, Louisiana, September 8-11, 1996, 1140-1146.
11. Park, J. W. Sandberg, I. W.(1991), "Universal Approximation Using Radial-Basis-Function Networks." Neural Computation 3, 246-257.
12. Helmut Thiele, "On the concepts of the qualitative fuzzy sets" 1999 IEEE International Symposium, on Multiple-Valued Logic, Tokyo May 20-22, 1999
13. Helmut Thiele, "On approximate Reasoning with Context-Dependent Fuzzy Sets. WAC 2000, Wailea, Maui, Hawaii, June 11-16,2000
14. Zimmerman, H. Fuzzy Set Theory -and its Applications, Second Ed., Kluwer Academic Publisher, 1991.