This paper is concerned with an impulsive Cohen–Grossberg neural networks with mixed
delays. Under proper conditions, we studied the existence, the uniqueness and the global …

The aim of this article is to study neutral type Clifford-valued high-order Hopfield neural
networks with mixed delays and D operator. New criteria are established for the existence …

In this paper, deep EEG feature learning method is proposed for emotion recognition. It is
well known that EEG signals dramatically vary from person to person, thereby making …

This paper is concerned with an impulsive non-autonomous high-order Hopfield neural
network with mixed delays. Under proper conditions, we studied the existence, the …

This paper investigates the problems of stability and synchronization for high-order recurrent
neural networks with mixed delays. Firstly, we establish sufficient conditions to ensure the …

In this paper, a class of Bidirectional Associative Memory neural networks with time-varying
weights and continuously distributed delays is discussed. Sufficient conditions are obtained …

This work is concerned with the existence and uniqueness of pseudo almost-periodic
solution for a class of impulsive recurrent neural network networks with mixed delays. Some …

The recognition of Arabic text, in both handwritten and printed forms, represents a fertile
provenance of technical difficulties for Optical Character Recognition (OCR). Indeed, the …

This work aims to investigate a class of high-order recurrent neural networks. Various criteria
are established for the existence and uniqueness of asymptotic almost automorphic …

This study belongs to a class of high order recurrent neural networks differential equations
with variable delays. With the help of theory of weighted pseudo almost periodic (WPAP) …