The application of artificial intelligence in everyday life is becoming all-pervasive and
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …

This paper deals with the non-fragile memory filtering issue of TS fuzzy delayed neural
networks with randomly occurring time-varying parameters uncertainties and variable …

This paper investigates the issue of the reliable asynchronous sampled-data filtering of
Takagi–Sugeno (T–S) fuzzy delayed neural networks with stochastic intermittent faults …

Portfolio optimization is one of the most important investment strategies in financial markets.
It is practically desirable for investors, especially high-frequency traders, to consider …

The existing solutions for nonconvex optimization problems show satisfactory performance
in noise-free scenarios. However, they are prone to yield inaccurate results in the presence …

Portfolio selection is one of the important issues in financial investments. This article is
concerned with portfolio selection based on collaborative neurodynamic optimization. The …

This paper studies the stochastic exponential synchronization problem for uncertain chaotic
neural networks (UCNNs) with probabilistic faults (PFs) and randomly occurring time-varying …

This paper addresses the exponential synchronization issue of delayed chaotic neural
networks (DCNNs) with control packet dropout. A novel stochastic switched sampled-data …

Zeroing neural network (ZNN), as an important class of recurrent neural network, has wide
applications in various computation and optimization fields. In this article, based on the …

This paper proposes a generalized Hopfield network for solving general constrained convex
optimization problems. First, the existence and the uniqueness of solutions to the …