Oscillatory chaotic neural network as a hybrid system for pattern recognition

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.