A type of recurrent neural networks called Zhang neural network (ZNN) is presented and
investigated to provide an online solution to the time-varying linear matrix equation, A (t) X (t) …

For solving online the linear matrix equation AXB= C with time-varying coefficients, this
paper presents a special kind of recurrent neural networks by using a design method …

The Zhang neural network (ZNN) has attracted a great deal of interest from a large number
of researchers because of its significant advantage in solving the various time-varying …

In addition to the parallel-distributed nature, recurrent neural networks can be implemented
physically by designated hardware and thus have been found broad applications in many …

In this article, the existing approaches, including numerical algorithms as well as neural
networks to solve dynamic linear matrix equations, have been presented and reviewed …

Linear matrix equation (LME) is a kind of very important mathematical equation, and many
practical problems in scientific and engineering fields can be described by LMEs in …

A special class of recurrent neural network (RNN), termed Zhang neural network (ZNN)
depicted in the implicit dynamics, has recently been proposed for online solution of time …

Different from gradient-based neural networks, a special kind of recurrent neural network
has been proposed by Zhang et al for real-time matrix inversion. In this paper, we generalize …

In this paper, a class of Zhang neural networks (ZNNs) are developed and analyzed on
convergence properties. Different from conventional gradient-based neural networks …

A complex-valued nonlinear recurrent neural network is designed and researched for time-
varying matrix inversion solving in complex field. Unlike the design methods of the …