An improved activation function, termed extended sign-bi-power (Esbp), is proposed. An
extension of the Li zeroing neural network (ELi-ZNN) based on the Esbp activation is …

Matrix inversion frequently occurs in the fields of science, engineering, and related fields.
Numerous matrix inversion schemes are often based on the premise that the solution …

Matrix inversion often arises in the fields of science and engineering. Many models for matrix
inversion usually assume that the solving process is free of noises or that the denoising has …

By exploiting two simplified nonlinear activation functions, two zeroing neural network (ZNN)
models are designed and studied to efficiently tackle the time-varying matrix …

The matrix inversion problem plays a very important role in mathematics as well as practical
engineering applications. In this article, unlike the traditional fixed-parameter zeroing neural …

The zeroing neural network (ZNN), as a special kind of recurrent neural network (RNN), is
often utilized to solve dynamic matrix inversion problems in the many fields recently. In this …

Matrix inversion is commonly encountered in the field of mathematics. Therefore, many
methods, including zeroing neural network (ZNN), are proposed to solve matrix inversion …

As a classical and effective method for solving various time-varying problems, the zeroing
neural network (ZNN) is widely applied in the scientific and industrial realms. In plentiful …

The concept presented in this paper is based on previous dynamical methods to realize a
time-varying matrix inversion. It is essentially a set of coupled ordinary differential equations …

As a common mathematical operation, the time-varying matrix inversion (TVMI) is frequently
arisen in many complex problems. It has been proved in a large number of studies that the …