In recent years, neural networks have become a common practice in academia for handling
complex problems. Numerous studies have indicated that complex problems can generally …

The field of computer science has undergone rapid expansion due to the increasing interest
in improving system performance. This has resulted in the emergence of advanced …

A correlation between fuzzy logic systems (FLS) and zeroing neural networks (ZNN) design
is investigated. It is shown that the gain parameter included in ZNN design can be …

Aiming at time-variant problems solving, a special type of recurrent neural networks, termed
zeroing neural network (ZNN), has been proposed, developed, and validated since 2001 …

The zeroing neural network (ZNN) model, a powerful approach for addressing time-varying
problems, has been extensively applied in the calculation and optimization fields. In this …

Zeroing neural network (ZNN) has been applied to various time-varying problems solving,
and numerous ZNN models have been developed in recent years, such as power-type …

This article proposes an improved general zeroing neural network model to suppress noise
and to enhance the real-time performance of solving TVQP problems. The proposed model …

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 …

It is generally considered that controlling a robot precisely becomes tough on the condition
of unknown structure information. Applying a data-driven approach to the robot control with …

This paper describes a new global robust stability analysis of bidirectional associative
memory (BAM) neural networks. Under parameter uncertainty, we find a new upper bound …