Title :
An Improved Delay Feedback Control Method in a Chaotic Neural Network
Author :
He, Guoguang ; Zhu, Ping ; Chen, Hongping ; Zhitong Cao ; Kuroiwa, Jousuke ; Ogura, Hisakazu
Author_Institution :
Dept. of Phys., Zhejiang Univ., Hangzhou
Abstract :
In this paper, we proposed an improved delay feedback control method (IDFC) for a chaotic neural network. In the method, a delay feedback control signal is added into the term of the refractoriness of the chaotic neuron to resist the chaos in the chaotic neural network. The computer experiments show that the output sequence of the controlled chaotic neural network become periodic. The controlling chaos in a chaotic neural network is therefore implemented. When control parameters K and tau are taken as 1.3 and 1 respectively, the outputs of the network is periodic-16
Keywords :
chaos; delays; feedback; neurocontrollers; nonlinear control systems; chaos control; chaotic neural network; chaotic neuron; delay feedback control; Biological system modeling; Chaos; Feedback control; Information processing; Intelligent networks; Neural networks; Neurons; Orbits; Pattern recognition; Proportional control;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614670