Neural networks and fuzzy systems are well known soft computing techniques, which date back several decades since the preliminary work of McCulloch and Pitts, Grossberg, Zadeh, and dozens of other precursors. At first, the neural network was believed to be "simple and workable solution" for all the difficult problems can be dealt with, and then gave rise to a broad interest in research around t...

A generalized Cohen-Grossberg neural network model with both discrete and neutral time varying delays is considered here. Activation functions and approximately behaved functions are not required to be differentiable. Global robust exponential stability of periodic solution is studied using a suitable Lyapunov functional by constructing a general eigen value problem [GEVP]. More generalized and...

*Correspondence: [email protected] 2College of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing, Zhejiang 314001, P.R. China Full list of author information is available at the end of the article Abstract This paper is concerned with the global exponential convergence of Cohen-Grossberg neural networks with continuously distributed leakage delays. By using the L...