Title :
On a periodically stimulated simple sign network
Author :
Senda, Yasunori ; Jin, Kenya ; Saito, Toshimichi
Author_Institution :
Dept. of Electr. Eng., Hosei Univ., Tokyo, Japan
fDate :
27 Jun-2 Jul 1994
Abstract :
This paper analyzes a continuous time sign network for which a periodic stimulation is applied. We clarify a parameter range in which state variables converge to periodic oscillation that synchronizes the stimulation force from any initial state. Regarding the initial value as the distance among same given data, the network can be applied as a clustering machine
Keywords :
neural nets; clustering machine; continuous time sign network; initial state; parameter range; periodic oscillation; periodic stimulation; periodically stimulated simple sign network; state variables; stimulation force; Equations; Hysteresis; Large-scale systems; Nonlinear dynamical systems; Stationary state; Zinc;
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.1994.374317
