Exponential stability of inertial neural networks involving proportional delays and non-reduced order method
Chuangxia Huang · Journal of Experimental & Theoretical Artificial Intelligence · 2019
This paper studies a class of inertial neural networks involving proportional delays. Without adopting reduced order method, by combining Lyapunov function method with differential inequality approach, some novel assertions are gained to validate the global generalised exponential stability of the addressed model, which are new and complement some previous works. In the end, some examples with their numerical simulations are carried out to substantiate the correctness of the theoretical findings.