Related references
Note: Only part of the references are listed.Improved finite-time zeroing neural network for time-varying division
Dimitris Gerontitis et al.
STUDIES IN APPLIED MATHEMATICS (2021)
A New Varying-Parameter Design Formula for Solving Time-Varying Problems
Predrag S. Stanimirovic et al.
NEURAL PROCESSING LETTERS (2021)
Higher-Order ZNN Dynamics
Predrag S. Stanimirovic et al.
NEURAL PROCESSING LETTERS (2020)
Time-varying generalized tensor eigenanalysis via Zhang neural networks
Changxin Mo et al.
NEUROCOMPUTING (2020)
Varying-parameter finite-time zeroing neural network for solving linear algebraic systems
Dimitrios Gerontitis et al.
ELECTRONICS LETTERS (2020)
A finite-time convergent Zhang neural network and its application to real-time matrix square root finding
Lin Xiao
NEURAL COMPUTING & APPLICATIONS (2019)
Iterative algorithms for solving some tensor equations
Qing-Wen Wang et al.
LINEAR & MULTILINEAR ALGEBRA (2019)
Improved Zhang neural network with finite-time convergence for time-varying linear system of equations solving
Xuanjiao Lv et al.
INFORMATION PROCESSING LETTERS (2019)
Time-varying matrix eigenanalyses via Zhang Neural Networks and look-ahead finite difference equations
Frank Uhlig et al.
LINEAR ALGEBRA AND ITS APPLICATIONS (2019)
Newton's method for solving the tensor square root problem
Xue-Feng Duan et al.
APPLIED MATHEMATICS LETTERS (2019)
A Varying-Gain Recurrent Neural Network and Its Application to Solving Online Time-Varying Matrix Equation
Zhijun Zhang et al.
IEEE ACCESS (2018)
Accelerating a recurrent neural network to finite-time convergence using a new design formula and its application to time-varying matrix square root
Lin Xiao
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2017)
Nonlinearly Activated Recurrent Neural Network for Computing the Drazin Inverse
Xue-Zhong Wang et al.
NEURAL PROCESSING LETTERS (2017)
Complex Neural Network Models for Time-Varying Drazin Inverse
Xue-Zhong Wang et al.
NEURAL COMPUTATION (2016)
A new design formula exploited for accelerating Zhang neural network and its application to time-varying matrix inversion
Lin Xiao
THEORETICAL COMPUTER SCIENCE (2016)
Li-function activated ZNN with finite-time convergence applied to redundant-manipulator kinematic control via time-varying Jacobian matrix pseudoinversion
Dongsheng Guo et al.
APPLIED SOFT COMPUTING (2014)
From different ZFs to different ZNN models accelerated via Li activation functions to finite-time convergence for time-varying matrix pseudoinversion
Bolin Liao et al.
NEUROCOMPUTING (2014)
Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function
Shuai Li et al.
NEURAL PROCESSING LETTERS (2013)
THIRD-ORDER TENSORS AS OPERATORS ON MATRICES: A THEORETICAL AND COMPUTATIONAL FRAMEWORK WITH APPLICATIONS IN IMAGING
Misha E. Kilmer et al.
SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS (2013)
Two New Types of Zhang Neural Networks Solving Systems of Time-Varying Nonlinear Inequalities
Lin Xiao et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS (2012)
Zhang neural network and its application to Newton iteration for matrix square root estimation
Yunong Zhang et al.
NEURAL COMPUTING & APPLICATIONS (2012)
VERIFIED COMPUTATION OF SQUARE ROOTS OF A MATRIX
Andreas Frommer et al.
SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS (2009)
Eigenvalues of a real supersymmetric tensor
LQ Qi
JOURNAL OF SYMBOLIC COMPUTATION (2005)
The matrix square root from a new functional perspective: Theoretical results and computational issues
B Meini
SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS (2004)
A unified quadratic-programming-based dynamical system approach to joint torque optimization of physically constrained redundant manipulators
Y Zhang et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2004)
Uniqueness of matrix square roots and an application
CR Johnson et al.
LINEAR ALGEBRA AND ITS APPLICATIONS (2001)
Share Paper
