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 generalized varying-parameter recurrent neural network for super solution of quadratic programming problem

Neurocomputing ◽

10.1016/j.neucom.2021.01.084 ◽

2021 ◽

Vol 437 ◽

pp. 238-248

Author(s):

Y. Kong ◽

Y. Jiang ◽

R. Han ◽

H. Wu

Keyword(s):

Neural Network ◽

Quadratic Programming ◽

Programming Problem ◽

Recurrent Neural Network ◽

Quadratic Programming Problem

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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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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 Lower Order Recurrent Neural Network for Solving Higher Order Quadratic Programming Problems with Equality Constraints

2009 International Joint Conference on Computational Sciences and Optimization ◽

10.1109/cso.2009.235 ◽

2009 ◽

Author(s):

Wudai Liao ◽

Jiangfeng Wang

Keyword(s):

Neural Network ◽

Quadratic Programming ◽

Recurrent Neural Network ◽

Lower Order ◽

Higher Order ◽

Equality Constraints ◽

Quadratic Programming Problems

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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 One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2007.910736 ◽

2008 ◽

Vol 19 (4) ◽

pp. 558-570 ◽

Author(s):

Qingshan Liu ◽

Jun Wang

Keyword(s):

Neural Network ◽

Quadratic Programming ◽

Recurrent Neural Network ◽

Activation Function

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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 New Recurrent Neural Network for Solving Convex Quadratic Programming Problems With an Application to the $k$-Winners-Take-All Problem

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2008.2011266 ◽

2009 ◽

Vol 20 (4) ◽

pp. 654-664 ◽

Author(s):

Xiaolin Hu ◽

Bo Zhang

Keyword(s):

Neural Network ◽

Quadratic Programming ◽

Recurrent Neural Network ◽

Convex Quadratic Programming ◽

Quadratic Programming Problems ◽

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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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