Integrated method for constructive training of radial basis function networks

Electronics Letters

Volumn 41, Issue 7, 2005, Pages 429-430

  Oliveira, Adriatic L I ^a   Melo, B J M ^a   Meira, S R L ^b  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

^b FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DATA REDUCTION; DIGITAL DIFFERENTIAL ANALYZERS; PARAMETER ESTIMATION; PROBABILISTIC LOGICS;

CONSTRUCTIVE TRAINING; DATA REDUCTION ALGORITHMS; INTEGRATED METHODS; MULTILAYER PERCEPTRONS (MLP);

RADIAL BASIS FUNCTION NETWORKS;

EID: 17444368950     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:20057296     Document Type: Article

References (10)

1. Berthold, M., and Diamond, J.: 'Boosting the performance of RBF networks with dynamic decay adjustment', in Tesauro, G. et al. (Eds.): 'Advances in neural information processing systems' (MIT Press, 1995), Vol. 7, pp. 521-528
2. Berthold, M., and Diamond, J.: 'Constructive training of probabilistic neural networks', Neurocomputing, 1998, 19, pp. 167-183
3. Oliveira, A.L.I., Neto, F.B.L., and Meira, S.R.L.: 'Improving RBF-DDA performance on optical character recognition through parameter selection'. Proc. Int. Conf. on Pattern Recognition, 2004, Cambridge, UK, Vol. 4, pp. 625-628
4. Paetz, J.: 'Reducing the number of neurons in radial basis function networks with dynamic decay adjustment', Neurocomputing, 2004 (in press)
5. Ou, Y.-Y., Chen, C.-Y., Hwang, S.-C, and Oyang, Y.-J.: 'Expediting model selection for support vector machines based on data reduction'. Proc. IEEE Conf. on Systems, Man and Cybernetics, 2003, Vol. 1, pp. 786-791
6. Blake, C., and Merz, C.: 'UCI repository of machine learning databases', 1998, (http.y/www.ics.uci.edu/~mlearn/MLRepository)
7. Kaynak, C., and Alpaydin, E.: 'Multistage cascading of multiple classifiers: one man's noise in another man's data'. Proc. 17th Int. Conf. on Machine Learning, 2000, pp. 455-462
8. Michie, D., Spielgelhalter, D.J., and Taylor, C.C., (Eds.): 'Machine learning, neural and statistical classification' (Ellis Horwood, 1994)
9. Allwein, E.L., Schapire, R.E., and Singer, Y.: 'Reducing multiclass to binary: a unified approach for margin classifiers', J. Mach. Learn. Res., 2000, 1, pp. 113-141
10. Rifkin, R., and Klautau, A.: 'In defense of one-vs-all classification', J. Mach. Learn. Res., 2004, 5, pp. 101-141