Effect of white noises on chaotic neural network

Authors:
Yaoqun Xu;Feng Qin;Jian Liu
Affiliations:
Institute of System Engineering, Harbin University of Commerce, Harbin;School of computer and Information Engineering, Harbin University of Commerce, Harbin;Institute of System Engineering, Harbin University of Commerce, Harbin
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

Citing 2
Cited 0

Chaotic simulated annealing by a neural network model with transient chaos

Neural Networks
On chaotic simulated annealing

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the practical applications and hardware realization of chaotic neural networks, because of the instability of hardware components and impacts of the surrounding environment, the system is subject to noise interference inevitably. In this paper, in order to study the effect of white noises on chaotic neural network, the optimization performance of chaotic neural network interrupted by white noises is deeply researched and analyzed. The simulation result of chaotic neural network interrupted by white noises illustrates the influence of white noises on the system. The simulation results show that the system still has good optimization ability under the white noises with suitable signal to noise.