The comparison of Bayesian and neural techniques in problems of classification to multiple categories

Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Volumn 389, Issue 1-2, 1997, Pages 230-232

  Chilingarian, A ^a   Ter Antonyan, S ^a   Vardanyan, A ^a  

^a YEREVAN PHYSICS INSTITUTE   (Armenia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPOSITION; COSMIC RAYS; DATA REDUCTION; ESTIMATION; STATISTICAL METHODS;

BAYESIAN DECISION MAKING; DATA CLASSIFICATION; DENSITY ESTIMATION; EVOLUTIONARY ALGORITHMS; PARZEN WINDOW METHOD; PRIMARY COSMIC RAYS;

NEURAL NETWORKS;

EID: 0031118302     PISSN: 01689002     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-9002(97)00134-4     Document Type: Article

References (6)

1. A.A. Chilingaryan, Comput. Phys. Commun. 54 (1989) 381.
2. Capdevielle et al., Kernforschungszentrum, Karlsruhe, report 4998, 1992.
3. A.A. Chilingarian, Pattern Recognition Lett. 16 (1995) 333.
4. A.A. Chilingarian, Neurocomputing 6 (1994) 497.
5. D.W. Ruck, K.S. Rogers et al., IEEE Trans. Neural Networks 1 (1990) 296.
6. R.M. Martirosov, J. Procureur and J.N. Stamenov, Nuovo Cimento 108 (1995) 299.