A recursive growing and pruning RBF (GAP-RBF) algorithm for function approximations

International Conference on Control and Automation

Volumn , Issue , 2003, Pages 491-495

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

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONS APPROXIMATIONS; LEARNING ACCURACY; LEARNING ERROR; PRUNING STRATEGY;

APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; DATA REDUCTION; LEARNING ALGORITHMS; RECURSIVE FUNCTIONS;

RADIAL BASIS FUNCTION NETWORKS;

EID: 14544285327     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. G.-B. Huang, P. Saratchandran, and N. Sundararajan, "An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks," submitted to Neural Computation, 2002.
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3. V. Kadirkamanathan and M. Niranjan, "A function estimation approach to sequential learning with neural networks," Neural Computation, vol. 5, pp. 954-975, 1993.
4. N. B. Karayiannis and G. W. Mi, "Growing radial basis neural networks: merging supervised and unsupervised learning with network growth techniques," IEEE Trans. Neural Networks, vol. 8, no. 6, pp. 1492 -1506, 1997.
5. 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.
6. L. Yingwei, N. Sundararajan, and P. Saratchandran, "Performance evaluation of a sequental minimal radial basis function (RBF) neural network learning algorithm," IEEE Trans. Neural Networks, vol. 9, no. 2, pp. 308-318, 1998.
7. N. Sundararajan and L. Y. W. P. Saratchandran, "Radial basis function neural networks with sequential learning: MRAN and its applications," River Edge: Singapore; World Scientific: NJ, 1999.