Application of recursive orthogonal least squares algorithms to training and the structure optimization of radial basis probabilistic neural networks

International Conference on Signal Processing Proceedings, ICSP

Volumn 2, Issue , 2002, Pages 1211-1214

  Zhao, Wenbo ^a,b   Huang, De Shuang ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b INSTITUTE OF INTELLIGENT MACHINES   (China)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; OPTIMIZATION; SIGNAL PROCESSING; STRUCTURAL OPTIMIZATION;

BASIC PRINCIPLES; EFFECTIVENESS AND EFFICIENCIES; ORTHOGONAL DECOMPOSITION; RADIAL BASIS PROBABILISTIC NEURAL NETWORKS; RECURSIVE ORTHOGONAL LEAST SQUARES ALGORITHMS; SECOND LAYER; SELECTION PROCEDURES; STRUCTURE OPTIMIZATION;

ALGORITHMS;

EID: 0141534872     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOSP.2002.1180008     Document Type: Conference Paper

References (6)

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3. Ferdric M. Ham, Lvica Kostanic, "Principles of Neurocomputing for Science and Engineering", McGraw-Hill Higher Education, New York, pp, 140-152, 2001.
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6. Zhiliua Zhou, Shifu Chen, Zhaoqian Chen. "FANNC: A Fast Adaptive Neural Network Classifier", Knowledge and Information System, NO. 2, 2000.