Title :
Stability of stochastically perturbed hopfield-type neural networks with mixed delays
Author :
Jendoubi, Chiraz ; Cherif, Farouk
Author_Institution :
Sfax Fac. of Sci., Univ. of Sfax, Sfax, Tunisia
Abstract :
This paper gives some new and slacker conditions about stability of the square mean pseudo almost periodic solutions of the stochastic Hopfield-type neural networks with mixed delays dx (t) = [-Dx(t) + Af(x(t)) + Bg (xτ(t)) + ∫tt-p K(t-s)h(x(s))ds]dt + σ(x(t))dω(t)x(t) = ξ(t), - τ ≤ t ≤ 0.
Keywords :
Hopfield neural nets; delays; stability; stochastic systems; mixed delays; slacker conditions; square mean pseudostability; stochastically perturbed Hopfield-type neural network stability; Biological neural networks; Delay effects; Delays; Indium tin oxide; Neurons; Stability analysis; Stochastic processes; Ito´s isometry; Neural networks; global stability; mixed delays; quadratic mean almost peri-odic;
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2014 6th International Conference of
Conference_Location :
Tunis
DOI :
10.1109/SOCPAR.2014.7008051
