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Abstract: In this paper, we improve the approach of energy functions on the stability analysis of neural networks with time delays.
Abstract—In this paper, we improve the approach of energy functions on the stability analysis of neural networks with time delays.
In this paper, we improve the approach of energy functions on the stability analysis of neural networks with time delays. By means of coefficient variation ...
Dec 5, 2020 · This paper concerns with stability analysis of neural networks with time varying delay. Two new delay-product type functionals (DPFs) are developed.
In this paper, we investigate the global attractivity of Cohen–Grossberg neural network models with connection time delays for both discrete and distributed ...
Sep 21, 2007 · In this paper, we propose a less conservative delay-dependent stability formula to guarantee the global exponential stability of neural networks ...
Oct 25, 2015 · This paper deals with the problem of stability analysis for generalized neural networks with time-varying delays.
May 1, 2020 · The dominating work of this paper is to solve the stability problem of neural networks equipped with state-dependent state delay.
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Feb 16, 2024 · We propose a general method for constructing Lyapunov functions for recurrent neural networks using physically meaningful energy functions.
This brief investigates the local asymptotical stability of two classes of discrete-time, continuous-state, complex-valued RNNs with parallel update and ...