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Robustness of convergence in finite time for linear programming neural networks

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-69512-4openalex-snapshot
Differential Inclusions
inferredcites →https://doi.org/10.1016/0893-6080(89)90018-xopenalex-snapshot
Convergent activation dynamics in continuous time networks
inferredcites →https://doi.org/10.1109/31.1783openalex-snapshot
Neural networks for nonlinear programming
inferredcites →https://doi.org/10.1109/72.238320openalex-snapshot
Location and stability of the high-gain equilibria of nonlinear neural networks
inferredcites →https://doi.org/10.1109/81.260216openalex-snapshot
Robustness and perturbation analysis of a class of nonlinear systems with applications to neural networks
inferredcites →https://doi.org/10.1109/tcs.1986.1085953openalex-snapshot
Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit
inferredcites →https://doi.org/10.1109/tcsi.2002.800481openalex-snapshot
Existence and characterization of limit cycles in nearly symmetric neural networks
inferredcites →https://doi.org/10.1109/tcsi.2003.818614openalex-snapshot
Global convergence of neural networks with discontinuous neuron activations
inferredcites →https://doi.org/10.1109/tcsi.2004.834493openalex-snapshot
Generalized Neural Network for Nonsmooth Nonlinear Programming Problems
inferredcites →https://doi.org/10.1137/1.9781611971309openalex-snapshot
Optimization and Nonsmooth Analysis
inferredcites →https://doi.org/10.1142/s0218127400000852openalex-snapshot
BIFURCATIONS AND OSCILLATORY BEHAVIOR IN A CLASS OF COMPETITIVE CELLULAR NEURAL NETWORKS

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9781119986041.ch10openalex-snapshot
FTZNN for Quadratic Optimization
inferred← citeshttps://doi.org/10.1002/9781119986041.ch2openalex-snapshot
FTZNN for Static Matrix Square Root
inferred← citeshttps://doi.org/10.1002/cta.449openalex-snapshot
Global exponential stability for uncertain bidirectional associative memory neural networks with multiple time‐varying delaysviaLMI approach
inferred← citeshttps://doi.org/10.1002/cta.523openalex-snapshot
Global robust stability of interval delayed neural networks: Modified approach
inferred← citeshttps://doi.org/10.1002/cta.777openalex-snapshot
On global asymptotic stability for a class of delayed neural networks
inferred← citeshttps://doi.org/10.1007/s00521-017-3010-zopenalex-snapshot
A finite-time convergent Zhang neural network and its application to real-time matrix square root finding
inferred← citeshttps://doi.org/10.1016/j.asoc.2015.11.023openalex-snapshot
A nonlinearly-activated neurodynamic model and its finite-time solution to equality-constrained quadratic optimization with nonstationary coefficients
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.06.030openalex-snapshot
Zeroing neural networks: A survey
inferred← citeshttps://doi.org/10.1016/j.neunet.2011.09.001openalex-snapshot
A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization
inferred← citeshttps://doi.org/10.1016/j.tcs.2016.07.024openalex-snapshot
A new design formula exploited for accelerating Zhang neural network and its application to time-varying matrix inversion
inferred← citeshttps://doi.org/10.1109/tcyb.2015.2479118openalex-snapshot
Discontinuous Neural Networks for Finite-Time Solution of Time-Dependent Linear Equations
inferred← citeshttps://doi.org/10.1109/tnn.2011.2104979openalex-snapshot
Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions
inferred← citeshttps://doi.org/10.3389/fnbot.2017.00045openalex-snapshot
An Improved Recurrent Neural Network for Complex-Valued Systems of Linear Equation and Its Application to Robotic Motion Tracking
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