Hodykin-Huxley 方程, 感知器模型与自适应滤波器, 再到六十年代的自组织映射网络,
神经认知机, 自适应共振网络, 许多神经计算模型都发展成为信号处理, 计算机视觉 …

Stability problems of continuous-time recurrent neural networks have been extensively
studied, and many papers have been published in the literature. The purpose of this paper is …

This paper studies the online adaptive optimal controller design for a class of nonlinear
systems through a novel policy iteration (PI) algorithm. By using the technique of neural …

This paper is concerned with analysis problem for the global exponential stability of a class
of recurrent neural networks (RNNs) with mixed discrete and distributed delays. We first …

In this letter, the state estimation problem is studied for neural networks with time-varying
delays. The interconnection matrix and the activation functions are assumed to be norm …

In this paper, the global exponential stability and periodicity for a class of reaction–diffusion
delayed recurrent neural networks with Dirichlet boundary conditions are addressed by …

This paper is concerned with the problems of stability and dissipativity analysis for static
neural networks (NNs) with time delay. Some improved delay-dependent stability criteria are …

For neural networks with constant or time-varying delays, the problems of determining the
exponential stability and estimating the exponential convergence rate are studied in this …

This paper talks about the stability and synchronization problems of fractional-order
quaternion-valued neural networks (FQVNNs) with linear threshold neurons. On account of …

In this paper, several sufficient conditions are established for the global asymptotic stability
of recurrent neural networks with multiple time-varying delays. The Lyapunov–Krasovskii …