Title :
Convergence in neural networks with interneuronal transmission delays
Author_Institution :
Sch. of Inf. Sci. & Technol., Flinders Univ. South Australia, Bedford Park, SA, Australia
fDate :
27 Jun-2 Jul 1994
Abstract :
We obtain sufficient conditions for the global asymptotic stability of the equilibrium of a class of neural networks with interneuronal transmission delays
Keywords :
asymptotic stability; convergence; delays; neural nets; convergence; equilibrium; global asymptotic stability; interneuronal transmission delays; neural networks; sufficient conditions; Asymptotic stability; Biology computing; Biomembranes; Convergence; Delay effects; Equations; Intelligent networks; Neural networks; Neurons; Sufficient conditions;
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.1994.374314
