Results 261 to 270 of about 8,474,325 (290)

Complex Zhang Neural Networks for Complex-Variable Dynamic Quadratic Programming

Neurocomputing, 2019
Abstract In this paper, a neurodynamic approach concerning complex Zhang neural networks (ZNNs) is presented to solve a complex-variable dynamic quadratic programming (QP). The proposed complex ZNNs are activated by various complex activation functions respectively, such as linear function, sign function and Li function.
Sitian Qin
exaly   +3 more sources

Comparison on Zhang Neural Network and Gradient Neural Network for Time-Varying Linear Matrix Equation AXB = C Solving

2008 IEEE International Conference on Industrial Technology, 2008
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 recently proposed by Zhang et al. Compared with gradient neural networks (abbreviated as GNN, or termed as gradient-based neural networks), the resultant Zhang neural network ...
Yunong Zhang
exaly   +2 more sources

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

IEEE Transactions on Circuits and Systems I: Regular Papers, 2012
To solve systems of time-varying nonlinear inequalities, this paper proposes two new types of Zhang neural networks. The first new type of Zhang neural network is based on the conventional Zhang 's neural-dynamics design method, and is termed a conventional Zhang neural network (CZNN). The other one is based on a novel variant of the conventional Zhang
Yunong Zhang, Lin Xiao
exaly   +2 more sources

From Zhang Neural Network to scaled hyperpower iterations

Journal of Computational and Applied Mathematics, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Predrag S. Stanimirovic, Shwetabh Srivastava, Dharmendra Kumar Gupta   +2 more
openaire   +2 more sources

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

Simulation Modelling Practice and Theory, 2009
Abstract Differing from gradient-based neural networks (GNN), a special kind of recurrent neural network has recently been proposed by Zhang et al. for real-time inversion of time-varying matrices. The design of such a recurrent neural network is based on a matrix-valued error function instead of a scalar-valued norm-based energy-function.
Yunong Zhang, Chenfu Yi, Weimu Ma
openaire   +1 more source

Simulation and Comparison of Zhang Neural Network and Gradient Neural Network Solving for Time-Varying Matrix Square Roots

2008 Second International Symposium on Intelligent Information Technology Application, 2008
A special kind of recurrent neural networks (RNN) has recently been proposed by Zhang et al for online time- varying problems solving. Different from conventional gradient neural networks (GNN), such RNN (or termed specifically as Zhang neural networks, ZNN) are designed based on matrix-valued error functions, instead of scalar-valued error functions ...
Yunong Zhang, Yiwen Yang
openaire   +1 more source

MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving

2008
This paper presents a new kind of recurrent neural network proposed by Zhang et al.for solving online Lyapunov equation with time-varying coefficient matrices. Global exponential convergence could be achieved by such a recurrent neural network when solving the time-varying problems in comparison with gradient neural networks (GNN). MATLAB simulation of
Yunong Zhang, Shuai Yue, Ke Chen 0004, Chenfu Yi   +3 more
openaire   +2 more sources

MATLAB Simulink Modeling of Zhang Neural Network Solving for Time-Varying Pseudoinverse in Comparison with Gradient Neural Network

2008 Second International Symposium on Intelligent Information Technology Application, 2008
A special kind of recurrent neural networks (RNN), i.e., Zhang neural networks (ZNN), has recently been proposed for online time-varying problems solving. In this paper, we generalize and investigate the Matlab Simulink modeling and verification of a ZNN model for online time-varying matrix pseudoinverse solving.
Yunong Zhang, Ning Tan, Binghuang Cai, Zenghai Chen   +3 more
openaire   +1 more source

An Improved Zhang Neural Network Model Solving the Matrix Inverse Online

2019 International Conference on Advanced Mechatronic Systems (ICAMechS), 2019
In this paper, an optional Moore-Penrose (M-P) inverse error function is investigated and guarantee the global exponential convergence of the neural model and find out its exact inverse of a given time-invarying matrix. This increases the category of Zhang neural network (ZNN) model based on vector-valued matrix-formed errors function and also broadens
Wudai Liao, Jun Zhou, Xiaosong Liang, Zongsheng Liu   +3 more
openaire   +1 more source

Simulations and Experiments of Time-Varying Takagi Factorization via Zhang Neural Network

2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2021
The problem of Takagi factorization (TF) for complex time-varying symmetric matrix is proposed in this paper. To solve this difficult and challenging problem, a continuous-time TF (CTTF) model of derivative equation system form is proposed via Zhang neural network (ZNN) method.
Zanyu Tang, Tianyu Zeng, Zhenyu Li, Jianrong Chen, Yunong Zhang   +4 more
openaire   +1 more source