We start by presenting the concept of Stepanov-like weighted pseudo almost automorphic
on time-space scales. Besides, we introduce a novel model of high-order BAM neural …

In this paper, a class of inertial neural networks with time delays is considered. By
develo** an approach based on differential inequality techniques coupled with Lyapunov …

Pseudo almost automorphy (PAA) is a natural generalization of Bochner almost automorphy
and Stepanov almost automorphy. Therefore, the results of the existence of PAA solutions of …

In this paper, we show that, in vector-to-vector regression utilizing deep neural networks
(DNNs), a generalized loss of mean absolute error (MAE) between the predicted and …

This paper investigates the exponential stability analysis issue for a class of delayed
recurrent neural networks (RNNs) with semi-Markovian parameters. By constructing a …

Main issues in visual servoing of manipulators mainly include rapid convergence of feature
errors to zero and the safety of joints regarding joint physical limits. To address the two …

This paper studies a class of inertial neural networks with leakages and varying delays on
timescales: x_ i^ △ △ (t) &=-a_ i (t) x_ i^ △ (t-η _ i (t))-b_ i (t) x_ i (t-ξ _ i (t))+ ∑\limits _ j= 1 …

In this work, the problems of investigation of pseudo Weyl almost periodic solution of
quaternion-valued shunting inhibitory model of type cellular neural networks with time …

Synchronization and control are two very important aspects of any dynamical systems.
Among various kinds of nonlinear systems, competitive neural network holds a very …

In this work, the exponential stability of monotone traveling wave solutions for a class of
nonlinear delayed dynamical neural networks with leakage term and distributed delays is …