MS-TSKfnn: Novel takagi-sugeno-kang fuzzy neural network using ART like clustering

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn 3, Issue , 2004, Pages 2361-2366

  Wang, Di ^a   Quek, Chai ^a   Ng, Geok See ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRETE INCREMENTAL CLUSTERING (DIC); LINGUISTIC NODES; NEURO-FUZZY SYSTEMS; TAKAGI-SUNEGO-KANG FUZZY NEURAL NETWORK (TSKFNN);

BENCHMARKING; COMPUTER SIMULATION; FEEDFORWARD NEURAL NETWORKS; FUNCTIONS; FUZZY SETS; LINGUISTICS; MATHEMATICAL MODELS; SELF ORGANIZING MAPS; SET THEORY; VECTORS;

NEURAL NETWORKS;

EID: 10844260641     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2004.1380996     Document Type: Conference Paper

References (12)

1. W. L. Tung and C. Quek, "GenSoFNN: a generic self-organizing fuzzy neural network," Neural Networks, IEEE Transactions, vol. 13, pp. 1075-1086, Sep. 2002.
2. J. S. Jang, "ANFIS: adaptive-network-based fuzzy inference system," Systems, Man and Cybernetics, IEEE Transactions, vol. 23, pp. 665-685, May-June. 1993.
3. N. K. Kasabov and Qun Song, "DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction," Fuzzy Systems, IEEE Transactions, vol. 10, pp. 144-154, Apr. 2002.
4. C. T. Sun and J. S. Jang, "A neuro-fuzzy classifier and its applications," Proc. IEEE Int. Conf. Fuzzy Syst. San Francisco, CA, vol. I, pp. 94-98, Mar. 1993
5. E. H. Mamdani, "Application of fuzzy algorithms for control of simple dynamic plant," Proc. Inst. Elect. Eng., vol. 121, no. 12, pp. 1585-1588, Dec. 1974.
6. T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control," IEEE Trans. Syst., Man, Cybern., vol. 15, pp. 116-132, Jan. 1985.
7. C. Quek and S. Y. Gao, "S-TSKFNN: A novel self-organizing fuzzy neural network based on the TSK fuzzy rule model," Technique report. Intelligent System Lab, School of Computer Engineering, Nanyang Technological University, March 2002.
8. L. A. Zadeh, "Fuzzy sets and their application to pattern recognition and clustering analysis." In J. V. Ryzin, ed., Classification and Clustering, 251-299. New York: Academic Press.
9. G.A. Carpenter, S. Grossberg, D.B. Rosenm "Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system." Neural Networks, vol. 4, pp. 759-771, 1991.
10. T.K. Kohonen, "Self-Organized Formation of Topologically Correct Feature Maps." Bio. Cybern, vol. 43, pp. 59-69, 1982.
11. C. T. Lin and C. S. G. Lee, Neural Fuzzy Systems: A Neural-Fuzzy Synergism to Intelligent Systems. Englewood Cliffs, NJ: Prentice-Hall, 1996.
12. K. K. Ang and C. Quek, "POPFNN-CRI(S): pseudo outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier," Systems, Man and Cybernetics, Part B, IEEE Transactions, vol. 33, pp. 838-849, Dec. 2003.