DocumentCode
692390
Title
Dynamic Object Identification with SOM-Based Neural Networks
Author
Averkin, A. ; Povidalo, I.
Author_Institution
Dorodnicyn Comput. Centre, Moscow, Russia
fYear
2013
fDate
8-11 Sept. 2013
Firstpage
1
Lastpage
6
Abstract
In this article a number of neural networks based on self organizing maps, that can be successfully used for dynamic object identification, is described. The structure and algorithms of learning and operation of such SOM-based neural networks are described in details, also some experimental results is given.
Keywords
self-organising feature maps; SOM-based neural networks; dynamic object identification; self organizing map; Benchmark testing; Biological neural networks; Mathematical model; Neurons; Vectors; dynamic object identification; forecasting; neural networks; timeseries prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on
Conference_Location
Ipojuca
Type
conf
DOI
10.1109/BRICS-CCI-CBIC.2013.12
Filename
6855821
Link To Document