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M‐matrices and global convergence of discontinuous neural networks

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What this work says

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

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Absolute stability of a class of neural networks with unbounded delay
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Differential Equations with Discontinuous Righthand Sides
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Recent directions in matrix stability
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Nonnegative Matrices in the Mathematical Sciences
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Qualitative Analysis of Large Scale Dynamical Systems
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Qualitative Analysis of Large Scale Dynamical Systems
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Neurons with graded response have collective computational properties like those of two-state neurons.
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Neural networks for nonlinear programming
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Global exponential stability of neural networks with globally Lipschitz continuous activations and its application to linear variational inequality problem
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Stability of cellular neural networks with dominant nonlinear and delay-type templates
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New conditions for global stability of neural networks with application to linear and quadratic programming problems
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Absolute exponential stability of neural networks with a general class of activation functions
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An additive diagonal-stability condition for absolute exponential stability of a general class of neural networks
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Generalized Neural Network for Nonsmooth Nonlinear Programming Problems
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Deriving Sufficient Conditions for Global Asymptotic Stability of Delayed Neural Networks via Nonsmooth Analysis
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Deriving Sufficient Conditions for Global Asymptotic Stability of Delayed Neural Networks via Nonsmooth Analysis—II
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Optimization and Nonsmooth Analysis

What points at this work

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

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