Title :
A Note on Global Exponentially Stability of Neural Networks with Multiple Time Delays
Author :
Shao, Jin-Liang ; Huang, Ting-Zhu
Author_Institution :
Sch. of Appl. Math., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
In this note, we present a new proof on the result of global exponential stability of neural networks with multiple time delays which has been reported in [Sun, Zhang, Fei and Feng, Physics Letters A, vol. 298, pp. 122-132, 2002]. Based on the new method, a bound for the degree of exponential stability is presented, according to which, the convergent speed of neural networks can be estimated. Moreover, a simulation is given to justify our result.
Keywords :
asymptotic stability; delays; matrix algebra; neural nets; global exponentially stability; multiple time delays; neural networks; Associative memory; Delay effects; Mathematics; Neural network hardware; Neural networks; Pattern recognition; Physics; Stability; Sufficient conditions; Sun;
Conference_Titel :
Bio-Inspired Computing: Theories and Applications, 2007. BIC-TA 2007. Second International Conference on
Conference_Location :
Zhengzhou
Print_ISBN :
978-1-4244-4105-1
Electronic_ISBN :
978-1-4244-4106-8
DOI :
10.1109/BICTA.2007.4806407
