Title :
Asymptotic stability of feedback neural networks with time-delay
Author :
Zheng, Hong-Zhen ; Gu, Feng-Qi ; Sun, Yu-shan
Author_Institution :
Dept. of Comput. Sci. & Eng., Harbin Inst. of Technol., Wehai, China
Abstract :
This paper analyzes feedback neural networks with time-delay by discussing asymptotic stability of equilibrium point for a class of recurrent neural networks with time delay. Under certain assumptions, we obtain the sufficient conditions for asymptotic stability of equilibrium point and the asymptotic stability convergence of the trajectory. An example is given to illustrate the feasibility of the neural networks.
Keywords :
asymptotic stability; delays; recurrent neural nets; asymptotic stability convergence; equilibrium point; feedback neural networks; recurrent neural networks; time-delay; Artificial neural networks; Associative memory; Asymptotic stability; Biological neural networks; Convergence; Erbium; Neural networks; Neurofeedback; Recurrent neural networks; Sun;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259651
