An Improved Finite Time Convergence Recurrent Neural Network with Application to Time-Varying Linear Complex Matrix Equation Solution

Neural Processing Letters ◽

10.1007/s11063-021-10426-9 ◽

2021 ◽

Author(s):

Jie Jin

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Matrix Equation ◽

Finite Time ◽

Time Varying ◽

Complex Matrix ◽

Linear Complex ◽

Equation Solution ◽

Finite Time Convergence

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Design and Analysis of New Zeroing Neural Network Models With Improved Finite-Time Convergence for Time-Varying Reciprocal of Complex Matrix

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2019.2941750 ◽

2020 ◽

Vol 16 (6) ◽

pp. 3838-3848 ◽

Author(s):

Zhen Jian ◽

Lin Xiao ◽

Jianhua Dai ◽

Zhuo Tang ◽

Chubo Liu

Keyword(s):

Neural Network ◽

Finite Time ◽

Network Models ◽

Time Varying ◽

Complex Matrix ◽

Neural Network Models ◽

Finite Time Convergence

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

Neural Processing Letters ◽

10.1007/s11063-012-9241-1 ◽

2012 ◽

Vol 37 (2) ◽

pp. 189-205 ◽

Author(s):

Shuai Li ◽

Sanfeng Chen ◽

Bo Liu

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Finite Time ◽

Activation Function ◽

Sylvester Equation ◽

Time Varying ◽

Finite Time Convergence

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A finite-time convergent neural dynamics for online solution of time-varying linear complex matrix equation

Neurocomputing ◽

10.1016/j.neucom.2015.04.070 ◽

2015 ◽

Vol 167 ◽

pp. 254-259 ◽

Author(s):

Lin Xiao

Keyword(s):

Matrix Equation ◽

Finite Time ◽

Neural Dynamics ◽

Time Varying ◽

Complex Matrix ◽

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Accelerating a recurrent neural network to finite-time convergence using a new design formula and its application to time-varying matrix square root

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2017.06.012 ◽

2017 ◽

Vol 354 (13) ◽

pp. 5667-5677 ◽

Author(s):

Lin Xiao

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Finite Time ◽

Time Varying ◽

Square Root ◽

Design Formula ◽

Finite Time Convergence ◽

Matrix Square Root

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A novel recurrent neural network and its finite-time solution to time-varying complex matrix inversion

Neurocomputing ◽

10.1016/j.neucom.2018.11.071 ◽

2019 ◽

Vol 331 ◽

pp. 483-492 ◽

Author(s):

Lin Xiao ◽

Yongsheng Zhang ◽

Kenli Li ◽

Bolin Liao ◽

Zhiguo Tan

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Finite Time ◽

Matrix Inversion ◽

Time Varying ◽

Complex Matrix ◽

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A finite-time recurrent neural network for solving online time-varying Sylvester matrix equation based on a new evolution formula

Nonlinear Dynamics ◽

10.1007/s11071-017-3750-4 ◽

2017 ◽

Vol 90 (3) ◽

pp. 1581-1591 ◽

Author(s):

Lin Xiao

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Matrix Equation ◽

Finite Time ◽

Time Varying ◽

Sylvester Matrix Equation ◽

Sylvester Matrix

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Improved Zhang neural network with finite-time convergence for time-varying linear system of equations solving

Information Processing Letters ◽

10.1016/j.ipl.2019.03.012 ◽

2019 ◽

Vol 147 ◽

pp. 88-93 ◽

Author(s):

Xuanjiao Lv ◽

Lin Xiao ◽

Zhiguo Tan

Keyword(s):

Neural Network ◽

Linear System ◽

Finite Time ◽

System Of Equations ◽

Time Varying ◽

Linear System Of Equations ◽

Finite Time Convergence ◽

Zhang Neural Network

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A Finite-Time Recurrent Neural Network for Computing Quadratic Minimization with Time-Varying Coefficients

Chinese Journal of Electronics ◽

10.1049/cje.2019.01.009 ◽

2019 ◽

Vol 28 (2) ◽

pp. 253-258 ◽

Author(s):

Lin XIAO ◽

Rongbo LU

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Finite Time ◽

Time Varying ◽

Quadratic Minimization ◽

Varying Coefficients ◽

Time Varying Coefficients

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A recurrent neural network with finite-time convergence for convex quadratic bilevel programming problems

Neural Computing and Applications ◽

10.1007/s00521-017-2926-7 ◽

2017 ◽

Vol 30 (11) ◽

pp. 3399-3408 ◽

Author(s):

Jiqiang Feng ◽

Sitian Qin ◽

Fengli Shi ◽

Xiaoyue Zhao

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Bilevel Programming ◽

Finite Time ◽

Finite Time Convergence ◽

Bilevel Programming Problems

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Two finite-time convergent Zhang neural network models for time-varying complex matrix Drazin inverse

Linear Algebra and its Applications ◽

10.1016/j.laa.2017.03.014 ◽

2018 ◽

Vol 542 ◽

pp. 101-117 ◽

Author(s):

Sanzheng Qiao ◽

Xue-Zhong Wang ◽

Yimin Wei

Keyword(s):

Neural Network ◽

Finite Time ◽

Network Models ◽

Drazin Inverse ◽

Time Varying ◽

Complex Matrix ◽

Neural Network Models ◽

Zhang Neural Network

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