Weimu Ma

Zhang Neural Network Versus Gradient Neural Network for Solving Time-Varying Linear Inequalities

Trends in extreme learning machines: A review

Zhang neural network versus gradient-based neural network for time-varying linear matrix equation solving

Nonlinearly Activated Neural Network for Solving Time-Varying Complex Sylvester Equation

Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function

Two New Types of Zhang Neural Networks Solving Systems of Time-Varying Nonlinear Inequalities

Design and Analysis of FTZNN Applied to the Real-Time Solution of a Nonstationary Lyapunov Equation and Tracking Control of a Wheeled Mobile Manipulator

Orthogonal Least Squares Algorithm for Training Cascade Neural Networks

Comparison on neural solvers for the Lyapunov matrix equation with stationary & nonstationary coefficients

A convergence-accelerated Zhang neural network and its solution application to Lyapunov equation

Complex-valued Zhang neural network for online complex-valued time-varying matrix inversion

Comparison on Zhang neural dynamics and gradient-based neural dynamics for online solution of nonlinear time-varying equation

MATLAB Simulink modeling and simulation of LVI-based primal–dual neural network for solving linear and quadratic programs

Simulation and verification of Zhang neural network for online time-varying matrix inversion

From Zhang Neural Network to Newton Iteration for Matrix Inversion