Orthogonal least-squares learning algorithm with local adaptation process for the radial basis function networks

IEEE Signal Processing Letters

Volumn 3, Issue 8, 1996, Pages 253-255

  Chng, Eng Siong ^a,b   Yang, Howard Hua ^a   Bös, Siegfried ^a  

^a RIKEN   (Japan)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

LOCAL ADAPTATION PROCESS; RADIAL BASIS FUNCTION NETWORKS;

LEARNING ALGORITHMS;

EID: 0030215806     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/97.511811     Document Type: Article

References (4)

1. S. Chen, C. F. N. Cowen, and P. M. Grant, "Orthogonal least squares learning algorithm for radial basis function networks," IEEE Trans. Neural Networks, vol. 2, no. 2, pp. 302-309, 1991.
2. E. S. Chng, S. Chen, and B. Mulgrew, "Efficient computational schemes for the orthogonal least squares algorithm," IEEE Trans. Signal Processing, vol. 43, no. 1, pp. 373-376, 1995.
3. M. J. D. Powell, "Radial basis functions for multivariable interpolation: a review," in Algorithms for Approximation, J. C. Mason and M. G. Cox, Eds. Oxford, 1987, pp. 143-167.
4. A. C. Rencher, Methods of Multivariate Analysis. New York: Wiley, 1995.