Publication details

Self-organizing maps and probabilistic neural networks

Journal Article

Grim Jiří


serial: Neural Network World vol.10, 3 (2000), p. 407-415

research: AV0Z1075907

project(s): IAA2075703, GA AV, VS96063, MŠMT, KSK1075601, GA AV

abstract (eng):

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.

Cosati: 09K, 12B

RIV: BB