Lista de obras - Jun Wang - Dominio Público Uruguay

A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems.

artículo científico publicado en 2015

A Collaborative Neurodynamic Approach to Multiobjective Optimization

artículo científico publicado en 2018

A Collaborative Neurodynamic Approach to Multiple-Objective Distributed Optimization

artículo científico publicado en 2017

A Collective Neurodynamic Approach to Constrained Global Optimization

artículo científico publicado en 2016

A Collective Neurodynamic Approach to Distributed Constrained Optimization

artículo científico publicado en 2016

A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization.

artículo científico publicado en 2016

A Complex-Valued Projection Neural Network for Constrained Optimization of Real Functions in Complex Variables

artículo científico publicado en 2015

A Lagrangian network for kinematic control of redundant robot manipulators

artículo científico publicado en 1999

A Neurodynamic Optimization Approach to Bilevel Quadratic Programming

artículo científico publicado en 2016

A Projection Neural Network for Constrained Quadratic Minimax Optimization

artículo científico publicado en 2015

A Survey of Neurodynamic Optimization

artículo científico publicado en 2024

A Two-Time-Scale Neurodynamic Approach to Constrained Minimax Optimization

artículo científico publicado en 2017

A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization

artículo científico publicado en 2018

A collaborative neurodynamic approach to global and combinatorial optimization

artículo científico publicado en 2019

A collective neurodynamic optimization approach to bound-constrained nonconvex optimization

artículo científico publicado en 2014

A dual neural network for constrained joint torque optimization of kinematically redundant manipulators

scientific article published on 01 January 2002

A dual neural network for kinematic control of redundant robot manipulators

artículo científico publicado en 2001

A dual neural network for redundancy resolution of kinematically redundant manipulators subject to joint limits and joint velocity limits.

artículo científico publicado en 2003

A dynamic feedforward neural network based on gaussian particle swarm optimization and its application for predictive control

artículo científico publicado en 2011

A general methodology for designing globally convergent optimization neural networks.

artículo científico publicado en 1998

A general projection neural network for solving monotone variational inequalities and related optimization problems

artículo científico publicado en 2004

A multilayer recurrent neural network for solving continuous-time algebraic Riccati equations

artículo científico publicado en 1998

A network model for blind source extraction in various ill-conditioned cases

artículo científico publicado en 2005

A nonnegative matrix factorization algorithm based on a discrete-time projection neural network.

artículo científico publicado en 2018

A novel recurrent neural network for solving nonlinear optimization problems with inequality constraints.

artículo científico publicado en 2008

A one-layer projection neural network for nonsmooth optimization subject to linear equalities and bound constraints.

artículo científico publicado en 2013

A one-layer recurrent neural network for constrained nonconvex optimization

artículo científico publicado en 2014

A one-layer recurrent neural network for constrained nonsmooth invex optimization

artículo científico publicado en 2013

A one-layer recurrent neural network for constrained nonsmooth optimization

artículo científico publicado en 2011

A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization

artículo científico publicado en 2011

A one-layer recurrent neural network for pseudoconvex optimization subject to linear equality constraints.

artículo científico publicado en 2011

A one-layer recurrent neural network for support vector machine learning.

artículo científico publicado en 2004

A primal-dual neural network for online resolving constrained kinematic redundancy in robot motion control

artículo científico publicado en 2005

A recurrent neural network for minimum infinity-norm kinematic control of redundant manipulators with an improved problem formulation and reduced architecture complexity.

artículo científico publicado en 2001

A recurrent neural network for nonlinear optimization with a continuously differentiable objective function and bound constraints.

artículo científico publicado en 2000

A recurrent neural network for solving Sylvester equation with time-varying coefficients.

artículo científico publicado en 2002

A recurrent neural network for solving a class of general variational inequalities

artículo científico publicado en 2007

A recurrent neural network for solving a class of generalized convex optimization problems.

artículo científico publicado en 2013

A recurrent neural network for solving linear projection equations

artículo científico publicado en 2000

A recurrent neural network for solving nonlinear convex programs subject to linear constraints

artículo científico publicado en 2005

A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations.

artículo científico publicado en 2004

A simplified dual neural network for quadratic programming with its KWTA application

artículo científico publicado en 2006

A systematic method for analyzing robust stability of interval neural networks with time-delays based on stability criteria

artículo científico publicado en 2014

Absolute exponential stability of a class of continuous-time recurrent neural networks

scientific article published on 01 January 2003

Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays

artículo científico publicado en 2004

Admissible Delay Upper Bounds for Global Asymptotic Stability of Neural Networks With Time-Varying Delays

artículo científico publicado en 2018

Almost sure exponential stability of recurrent neural networks with Markovian switching

artículo científico publicado en 2009

An Efficient Sparse Bayesian Learning Algorithm Based on Gaussian-Scale Mixtures

artículo científico publicado en 2022

An LMI approach to global asymptotic stability of the delayed Cohen-Grossberg neural network via nonsmooth analysis

artículo científico publicado en 2007

An improved algebraic criterion for global exponential stability of recurrent neural networks with time-varying delays.

artículo científico publicado en 2008

An improved dual neural network for solving a class of quadratic programming problems and its k-winners-take-all application

artículo científico publicado en 2008

Analysis and design of a k -winners-take-all model with a single state variable and the heaviside step activation function

artículo científico publicado en 2010

Analysis and design of an analog sorting network

artículo científico publicado en 1995

Analysis and design of primal-dual assignment networks.

artículo científico publicado en 1998

Asymptotic and Finite-Time Cluster Synchronization of Coupled Fractional-Order Neural Networks With Time Delay

scientific article published on 16 January 2020

Attractivity analysis of memristor-based cellular neural networks with time-varying delays

artículo científico publicado en 2014

Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization

artículo científico publicado en 2021

Blind Source Extraction From Convolutive Mixtures in Ill-Conditioned Multi-Input Multi-Output Channels

Blind extraction of singularly mixed source signals.

artículo científico publicado en 2000

Boolean matrix factorization based on collaborative neurodynamic optimization with Boltzmann machines

artículo científico publicado en 2022

Chaotic time series prediction based on a novel robust echo state network.

artículo científico publicado en 2012

Collaborative annealing power <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e9859" altimg="si10.svg"><mml:mi>k</mml:mi></mml:math>-means++ clustering

artículo científico publicado en 2022

Complete stability of delayed recurrent neural networks with Gaussian activation functions

artículo científico publicado en 2016

Constrained motion control of flexible robot manipulators based on recurrent neural networks

artículo científico publicado en 2004

Convergence and attractivity of memristor-based cellular neural networks with time delays

artículo científico publicado en 2014

Design and analysis of high-capacity associative memories based on a class of discrete-time recurrent neural networks.

artículo científico publicado en 2008

Design of general projection neural networks for solving monotone linear variational inequalities and linear and quadratic optimization problems

artículo científico publicado en 2007

Event-Triggered Cardinality-Constrained Cooling and Electrical Load Dispatch Based on Collaborative Neurodynamic Optimization

scientific article published in 2022

Finite-time convergent recurrent neural network with a hard-limiting activation function for constrained optimization with piecewise-linear objective functions

artículo científico publicado en 2011

Global Synchronization of Coupled Fractional-Order Recurrent Neural Networks

artículo científico publicado en 2018

Global Synchronization of Multiple Recurrent Neural Networks With Time Delays via Impulsive Interactions

artículo científico publicado en 2016

Global and robust stability of interval Hopfield neural networks with time-varying delays.

artículo científico publicado en 2003

Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays.

artículo científico publicado en 2013

Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays

artículo científico publicado en 2007

Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays

artículo científico publicado en 2015

Global exponential periodicity of a class of recurrent neural networks with oscillating parameters and time-varying delays

artículo científico publicado en 2005

Global exponential stability of continuous-time interval neural networks

artículo científico publicado en 2002

Global exponential stability of recurrent neural networks for solving optimization and related problems.

artículo científico publicado en 2000

Global exponential stability of recurrent neural networks for synthesizing linear feedback control systems via pole assignment

artículo científico publicado en 2002

Global exponential stability of recurrent neural networks with time-varying delays in the presence of strong external stimuli

artículo científico publicado en 2006

Global exponential synchronization of multiple memristive neural networks with time delay via nonlinear coupling.

artículo científico publicado en 2014

Global stability of complex-valued recurrent neural networks with time-delays

artículo científico publicado en 2012

Global synchronization of memristive neural networks subject to random disturbances via distributed pinning control.

artículo científico publicado en 2016

Hash Bit Selection via Collaborative Neurodynamic Optimization With Discrete Hopfield Networks

artículo científico publicado en 2022

Improved conditions for global exponential stability of recurrent neural networks with time-varying delays

artículo científico publicado en 2006

LFT: Neural Ordinary Differential Equations With Learnable Final-Time

artículo científico publicado en 2022

Low-dimensional recurrent neural network-based Kalman filter for speech enhancement

artículo científico publicado en 2015

L₁-Minimization Algorithms for Sparse Signal Reconstruction Based on a Projection Neural Network

artículo científico publicado en 2015

Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization

artículo científico publicado en 2020

Multiperiodicity and exponential attractivity evoked by periodic external inputs in delayed cellular neural networks

artículo científico publicado en 2006

Multiperiodicity of discrete-time delayed neural networks evoked by periodic external inputs

artículo científico publicado en 2006

Multistability analysis of a general class of recurrent neural networks with non-monotonic activation functions and time-varying delays

artículo científico publicado en 2016

Multistability of Delayed Recurrent Neural Networks with Mexican Hat Activation Functions

artículo científico publicado en 2016

Multistability of Recurrent Neural Networks With Nonmonotonic Activation Functions and Unbounded Time-Varying Delays

artículo científico publicado en 2017

Multistability of Switched Neural Networks With Piecewise Linear Activation Functions Under State-Dependent Switching

scientific article published on 12 November 2018

Multistability of switched neural networks with sigmoidal activation functions under state-dependent switching

artículo científico publicado en 2019

Neurodynamics-Based Robust Pole Assignment for High-Order Descriptor Systems

scientific article published on 07 September 2015

Nonlinear model predictive control based on collective neurodynamic optimization

artículo científico publicado en 2015

Novel stability criteria for delayed cellular neural networks.

artículo científico publicado en 2003

Obstacle avoidance for kinematically redundant manipulators using a dual neural network

artículo científico publicado en 2004

On-line learning of dynamical systems in the presence of model mismatch and disturbances.

artículo científico publicado en 2000

Optimal Chiller Loading Based on Collaborative Neurodynamic Optimization

artículo científico publicado en 2023

Passivity and passification of memristor-based recurrent neural networks with time-varying delays

artículo científico publicado en 2014

Passivity of switched recurrent neural networks with time-varying delays

artículo científico publicado en 2015

Primal and dual assignment networks

artículo científico publicado en 1997

Robust Regression Estimation Based on Low-Dimensional Recurrent Neural Networks

artículo científico publicado en 2018

Robust model predictive control of nonlinear systems with unmodeled dynamics and bounded uncertainties based on neural networks

artículo científico publicado en 2014

Robust pole assignment for synthesizing feedback control systems using recurrent neural networks

artículo científico publicado en 2014

Robustness analysis of global exponential stability of recurrent neural networks in the presence of time delays and random disturbances

artículo científico publicado en 2012

Solving pseudomonotone variational inequalities and pseudoconvex optimization problems using the projection neural network

artículo científico publicado en 2006

Solving the assignment problem using continuous-time and discrete-time improved dual networks

artículo científico publicado en 2012

Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities

scientific article published in 2022

The Transactions in transition

artículo científico publicado en 2014

Two Projection Neural Networks With Reduced Model Complexity for Nonlinear Programming

scientific article published on 16 August 2019

Two recurrent neural networks for local joint torque optimization of kinematically redundant manipulators

artículo científico publicado en 2000

Lista de obras de Jun Wang

A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems.

A Collaborative Neurodynamic Approach to Multiobjective Optimization

A Collaborative Neurodynamic Approach to Multiple-Objective Distributed Optimization

A Collective Neurodynamic Approach to Constrained Global Optimization

A Collective Neurodynamic Approach to Distributed Constrained Optimization

A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization.

A Complex-Valued Projection Neural Network for Constrained Optimization of Real Functions in Complex Variables

A Lagrangian network for kinematic control of redundant robot manipulators

A Neurodynamic Optimization Approach to Bilevel Quadratic Programming

A Projection Neural Network for Constrained Quadratic Minimax Optimization

A Survey of Neurodynamic Optimization

A Two-Time-Scale Neurodynamic Approach to Constrained Minimax Optimization

A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization

A collaborative neurodynamic approach to global and combinatorial optimization

A collective neurodynamic optimization approach to bound-constrained nonconvex optimization

A dual neural network for constrained joint torque optimization of kinematically redundant manipulators

A dual neural network for kinematic control of redundant robot manipulators

A dual neural network for redundancy resolution of kinematically redundant manipulators subject to joint limits and joint velocity limits.

A dynamic feedforward neural network based on gaussian particle swarm optimization and its application for predictive control

A general methodology for designing globally convergent optimization neural networks.

A general projection neural network for solving monotone variational inequalities and related optimization problems

A multilayer recurrent neural network for solving continuous-time algebraic Riccati equations

A network model for blind source extraction in various ill-conditioned cases

A nonnegative matrix factorization algorithm based on a discrete-time projection neural network.

A novel recurrent neural network for solving nonlinear optimization problems with inequality constraints.

A one-layer projection neural network for nonsmooth optimization subject to linear equalities and bound constraints.

A one-layer recurrent neural network for constrained nonconvex optimization

A one-layer recurrent neural network for constrained nonsmooth invex optimization

A one-layer recurrent neural network for constrained nonsmooth optimization

A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization

A one-layer recurrent neural network for pseudoconvex optimization subject to linear equality constraints.

A one-layer recurrent neural network for support vector machine learning.

A primal-dual neural network for online resolving constrained kinematic redundancy in robot motion control

A recurrent neural network for minimum infinity-norm kinematic control of redundant manipulators with an improved problem formulation and reduced architecture complexity.

A recurrent neural network for nonlinear optimization with a continuously differentiable objective function and bound constraints.

A recurrent neural network for solving Sylvester equation with time-varying coefficients.

A recurrent neural network for solving a class of general variational inequalities

A recurrent neural network for solving a class of generalized convex optimization problems.

A recurrent neural network for solving linear projection equations

A recurrent neural network for solving nonlinear convex programs subject to linear constraints

A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations.

A simplified dual neural network for quadratic programming with its KWTA application

A systematic method for analyzing robust stability of interval neural networks with time-delays based on stability criteria

Absolute exponential stability of a class of continuous-time recurrent neural networks

Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays

Admissible Delay Upper Bounds for Global Asymptotic Stability of Neural Networks With Time-Varying Delays

Almost sure exponential stability of recurrent neural networks with Markovian switching

An Efficient Sparse Bayesian Learning Algorithm Based on Gaussian-Scale Mixtures

An LMI approach to global asymptotic stability of the delayed Cohen-Grossberg neural network via nonsmooth analysis

An improved algebraic criterion for global exponential stability of recurrent neural networks with time-varying delays.

An improved dual neural network for solving a class of quadratic programming problems and its k-winners-take-all application

Analysis and design of a k -winners-take-all model with a single state variable and the heaviside step activation function

Analysis and design of an analog sorting network

Analysis and design of primal-dual assignment networks.

Asymptotic and Finite-Time Cluster Synchronization of Coupled Fractional-Order Neural Networks With Time Delay

Attractivity analysis of memristor-based cellular neural networks with time-varying delays

Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization

Blind Source Extraction From Convolutive Mixtures in Ill-Conditioned Multi-Input Multi-Output Channels

Blind extraction of singularly mixed source signals.

Boolean matrix factorization based on collaborative neurodynamic optimization with Boltzmann machines

Chaotic time series prediction based on a novel robust echo state network.

Collaborative annealing power <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e9859" altimg="si10.svg"><mml:mi>k</mml:mi></mml:math>-means++ clustering

Complete stability of delayed recurrent neural networks with Gaussian activation functions

Constrained motion control of flexible robot manipulators based on recurrent neural networks

Convergence and attractivity of memristor-based cellular neural networks with time delays

Design and analysis of high-capacity associative memories based on a class of discrete-time recurrent neural networks.

Design of general projection neural networks for solving monotone linear variational inequalities and linear and quadratic optimization problems

Event-Triggered Cardinality-Constrained Cooling and Electrical Load Dispatch Based on Collaborative Neurodynamic Optimization

Finite-time convergent recurrent neural network with a hard-limiting activation function for constrained optimization with piecewise-linear objective functions

Global Synchronization of Coupled Fractional-Order Recurrent Neural Networks

Global Synchronization of Multiple Recurrent Neural Networks With Time Delays via Impulsive Interactions

Global and robust stability of interval Hopfield neural networks with time-varying delays.

Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays.

Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays

Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays

Global exponential periodicity of a class of recurrent neural networks with oscillating parameters and time-varying delays

Global exponential stability of continuous-time interval neural networks

Global exponential stability of recurrent neural networks for solving optimization and related problems.

Global exponential stability of recurrent neural networks for synthesizing linear feedback control systems via pole assignment