Probabilistic self-organizing map and radial basis function networks

Neurocomputing

Volumn 20, Issue 1-3, 1998, Pages 83-96

  Anouar, F ^a   Badran, F ^a   Thiria, S ^a,b  

^a University of Paris Cité   (France)

^b SORBONNE UNIVERSITÉ   (France)

Author keywords

Dynamic clusters; Likelihood; Radial basis function; Regression; Self organizing map

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS; TOPOLOGY;

NORMALIZED GAUSSIAN BASIS FUNCTION (NGBF) ALGORITHMS; PROBABILISTIC SELF-ORGANIZING MAP (PRSOM) ALGORITHMS; RADIAL BASIS FUNCTION (RBF) NETWORKS;

FEEDFORWARD NEURAL NETWORKS;

ALGORITHM; ARTICLE; MATHEMATICAL ANALYSIS; NERVE CELL NETWORK; PRIORITY JOURNAL; SIGNAL TRANSDUCTION;

EID: 0032584958     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(98)00026-5     Document Type: Article

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