Title :
Controlling chaos and artificial neuron
Author :
Saito, Toshimichi ; Jin´no, Kenya ; Kohari, Ken´ich
Author_Institution :
Dept. of Electr. Eng., Hosei Univ., Tokyo, Japan
fDate :
27 Jun-2 Jul 1994
Abstract :
This paper discusses chaos and its control in a periodically stimulated artificial neuron. The neuron includes bipolar hysteresis whose threshold is stimulated. The authors derive a one dimensional return map explicitly and prove chaos generation. Also, the authors propose a chaos control method that operates only in a linear region. It can stabilize any unstable periodic orbit embedded in chaotic attractor
Keywords :
chaos; hysteresis; neural nets; bipolar hysteresis; chaos control; chaotic attractor; linear region; one dimensional return map; periodically stimulated artificial neuron; unstable periodic orbit; Artificial neural networks; Associative memory; Chaos; Equations; Frequency; Hysteresis; Large-scale systems; Linear approximation; Neurons; Nonlinear dynamical systems;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374456
