Self-adjustment of neuron impact width in growing and pruning RBF (GAP-RBF) neuron networks

ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia

Volumn 2, Issue , 2003, Pages 1014-1017

  Wang, Ying ^a   Huang, Guang Bin ^a   Saratchandran, P ^a   Sundararajan, Narashiman ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

MULTIMEDIA SIGNAL PROCESSING; NEURONS; PARAMETER ESTIMATION; RADIAL BASIS FUNCTION NETWORKS; SIGNAL PROCESSING;

GROWING AND PRUNING; NEURON NETWORKS; REAL-WORLD; SELF ADJUSTMENT; SEQUENTIAL LEARNING ALGORITHM; TRIAL AND ERROR;

ALGORITHMS;

EID: 79957841459     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICS.2003.1292612     Document Type: Conference Paper

References (5)

1. G.-B. Huang, P. Saratchandran, and N. Sundararajan, "An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks," revised and resubmitted to IEEE Trans on Systems, Man and Cybernetics - Part B, 2003.
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4. L. Yingwei, N. Sundararajan, and P. Saratchandran, "A sequental learning scheme for function approximation using minimal radial basis function (RBF) neural networks," Neural Computation, vol. 9, pp. 461-478, 1997.
5. C. Blake and C. Merz, "UCI repository of machine learning databases," in http://www.ics.uci.edu/~mlearn/MLRepository.html, Department of Information and Computer Sciences, University of California, Irvine, USA, 1998.