Number of the records: 1
Self-organizing maps and probabilistic neural networks
- 1.0410331 - UTIA-B 20000047 RIV CZ eng J - Journal Article
Grim, Jiří
Self-organizing maps and probabilistic neural networks.
Neural Network World. Roč. 10, č. 3 (2000), s. 407-415. ISSN 1210-0552
Grant - others:GA AV(CZ) IAA2075703; MŠMT(CZ) VS96063; GA AV(CZ) KSK1075601
Program: IA; KS
Institutional research plan: AV0Z1075907
Subject RIV: BB - Applied Statistics, Operational Research
The self-organizing map (SOM) algorithm for training of artificial neural networks is shown to be closely related to a sequential modification of EM algorithm for maximum-likelihood estimation of finite mixtures. Theestablished correspondence provides a helpful theoretical basis for interpretation of the properties of SOM algorithm and for the choice of involved parameters.
Permanent Link: http://hdl.handle.net/11104/0003514
Number of the records: 1