Title :
Dynamic Object Identification with SOM-Based Neural Networks
Author :
Averkin, A. ; Povidalo, I.
Author_Institution :
Dorodnicyn Comput. Centre, Moscow, Russia
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;
Conference_Titel :
Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on
Conference_Location :
Ipojuca
DOI :
10.1109/BRICS-CCI-CBIC.2013.12
