Title :
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
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;
Conference_Titel :
Hybrid Intelligent Models And Applications (HIMA), 2011 IEEE Workshop On
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9907-6
DOI :
10.1109/HIMA.2011.5953961
