Maximum-entropy learning algorithm of radial basis function (RBF) neural networks

Jisuanji Xuebao/Chinese Journal of Computers

Volumn 24, Issue 5, 2001, Pages 474-479

  Zhang, Zhi Hua ^a   Zheng, Nan Ning ^a   Zheng, Hai Bing ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Lagrangian multiplier; Maximum entropy principle; Radial basis function

Indexed keywords

ENTROPY; IDENTIFICATION (CONTROL SYSTEMS); INFORMATION THEORY; LEARNING ALGORITHMS; NEURAL NETWORKS; TIME SERIES ANALYSIS;

CLUSTERING METHOD; MAXIMUM ENTROPY PRINCIPLE;

RADIAL BASIS FUNCTION NETWORKS;

EID: 0035351928     PISSN: 02544164     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. Supervised and unsupervised learning in radial basis function classifiers
2. An efficient approach to nonlinear minimax problems
3. An efficient approach to a class of non-smooth optimization problems
4. Competitive learning and soft competition for vector quantizer design