Oscillatory chaotic neural network as a hybrid system for pattern recognition

Author

Benderskaya, Elena N. ; Zhukova, Sofya V.

Author_Institution

Fac. of Comput. Sci., St. Petersburg State Politechnical Univ., St. Petersburg, Russia

fYear

2011

fDate

11-15 April 2011

Firstpage

39

Lastpage

45

Abstract

An approach based on application of oscillatory chaotic neural networks to solve complex pattern recognition problems is considered. Combination of neural networks computations with wide abilities of chaotic nonlinear systems generates a synergetic effect that declines expert participation in decision making process. The comparison analysis of clustering results obtained by means of oscillatory chaotic neural network with 43 hierarchical and partitioning clustering techniques is provided.

Keywords

chaos; decision making; neural nets; nonlinear systems; pattern clustering; pattern recognition; chaotic nonlinear system; clustering technique; complex pattern recognition problem; decision making process; expert participation; hybrid system; oscillatory chaotic neural network computation; synergetic effect; Artificial neural networks; Chaos; Logistics; Neurons; Pattern recognition; Synchronization; clustering; hybrid intelligent system; oscillatory chaotic neural networks; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Models And Applications (HIMA), 2011 IEEE Workshop On

Conference_Location

Paris

Print_ISBN

978-1-4244-9907-6

Type

conf

DOI

10.1109/HIMA.2011.5953961

Filename

5953961