Design and Analysis of a Novel Finite-Time Convergent and Noise-Tolerant Recurrent Neural Network for Time-Variant Matrix Inversion

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2018.2853598 ◽

2020 ◽

Vol 50 (11) ◽

pp. 4362-4376 ◽

Author(s):

Weibing Li

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Finite Time ◽

Matrix Inversion ◽

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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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Design and Analysis of a General Recurrent Neural Network Model for Time-Varying Matrix Inversion

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2005.857946 ◽

2005 ◽

Vol 16 (6) ◽

pp. 1477-1490 ◽

Author(s):

Y. Zhang ◽

S.S. Ge

Keyword(s):

Neural Network ◽

Network Model ◽

Recurrent Neural Network ◽

Neural Network Model ◽

Matrix Inversion ◽

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Solving quadratic minimization problem by finite-time recurrent neural network using two different nonlinear activation functions

2018 Tenth International Conference on Advanced Computational Intelligence (ICACI) ◽

10.1109/icaci.2018.8377598 ◽

2018 ◽

Author(s):

Yongsheng Zhang ◽

Lin Xiao ◽

Bolin Liao ◽

Lei Ding ◽

Rongbo Lu

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Minimization Problem ◽

Finite Time ◽

Activation Functions ◽

Quadratic Minimization

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An Energy-Efficient and Noise-Tolerant Recurrent Neural Network Using Stochastic Computing

IEEE Transactions on Very Large Scale Integration (VLSI) Systems ◽

10.1109/tvlsi.2019.2920152 ◽

2019 ◽

Vol 27 (9) ◽

pp. 2213-2221 ◽

Author(s):

Yidong Liu ◽

Leibo Liu ◽

Fabrizio Lombardi ◽

Jie Han

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Energy Efficient ◽

Stochastic Computing ◽

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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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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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Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2011.2104979 ◽

2011 ◽

Vol 22 (4) ◽

pp. 601-613 ◽

Author(s):

Qingshan Liu ◽

Jun Wang

Keyword(s):

Neural Network ◽

Constrained Optimization ◽

Recurrent Neural Network ◽

Finite Time ◽

Piecewise Linear ◽

Activation Function ◽

Objective Functions ◽

Linear Objective Functions

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A Variable-Gain Finite-Time Convergent Recurrent Neural Network for Time-Variant Quadratic Programming With Unknown Noises Endured

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2019.2897803 ◽

2019 ◽

Vol 15 (9) ◽

pp. 5330-5340 ◽

Author(s):

Weibing Li ◽

Zhizhuo Su ◽

Zhiguo Tan

Keyword(s):

Neural Network ◽

Quadratic Programming ◽

Recurrent Neural Network ◽

Finite Time ◽

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A Finite-Time Convergent and Noise-Rejection Recurrent Neural Network and Its Discretization for Dynamic Nonlinear Equations Solving

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2019.2906263 ◽

2020 ◽

Vol 50 (7) ◽

pp. 3195-3207 ◽

Author(s):

Weibing Li ◽

Lin Xiao ◽

Bolin Liao

Keyword(s):

Neural Network ◽

Nonlinear Equations ◽

Recurrent Neural Network ◽

Finite Time ◽

Noise Rejection

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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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