Learning of RBF network models for prediction of unmeasured parameters by use of rules extraction algorithm

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn 2005, Issue , 2005, Pages 292-297

  Vachkov, G L ^a   Kiyota, Y ^a   Komatsu, K ^a  

^a KAGAWA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; LEARNING SYSTEMS; LOGIC PROGRAMMING; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION;

RBF NETWORK MODELS; RULES EXTRACTION ALGORITHM; TAKAGI-SUGENO FUZZY MODELS;

COMPUTER NETWORKS;

EID: 33744989244     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.2005.1548550     Document Type: Conference Paper

References (9)

1. Ch. M. Bishop, "Neural networks for pattern recognition", Oxford University Press, Oxford, New York, 1995, pp. 164-177.
2. J. Moody and C. Darken, "Fast learning in networks of locally-tuned processing units", Neural Computation, vol. 1, No. 2, 1989, pp.281-294.
3. S. Chen, C.F.N. Covan and P.M. Grant, Orthogonal least squares algorithm for radial basis function networks, IEEE Trans. on Neural Networks, vol. 2, 1991, pp. 302-309.
4. Zheng-ou Wang and Tao Zhu, "An efficient algorithm for improving generalization performance of radial basis function neural networks", Neural Networks, vol. 13, 2000, pp. 545-553.
5. nd Edition, Springer Verlag, 1997.
6. T. Martinetz, S. Berkovich and K. Schulten, "Neural-Gas Network for vector quantization and its application to time-series prediction", IEEE Trans. on Neural Networks, vol. 4, No.4, 1993, pp. 558-569.
7. M. F.-Redondo, C. H.-Espinosa, M. O.-Gomez and J. T.-Sospedra, "Some experiments on training radial basis functions by gradient descent", in "Neural Information Processing", LNCS 3316, N. Pal et al. (Eds), Proc. of the ICONIP 2004, Calcutta, pp. 428-433.
8. L. X. Wang, "The WM method completed: A flexible fuzzy system approach to Data Mining", IEEE Trans. on Fuzzy Systems, Vol. 11, No. 6, 2003, pp. 768-782.
9. L. X. Wang and J. M. Mendel, "Generating fuzzy rules by learning from examples", IEEE Trans. on Systems, Man and Cybernetics, vol. 22, 1992, pp. 1414-1427.