HÖLDER CONTINUOUS ACTIVATION FUNCTIONS IN NEURAL NETWORKS
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Publication:2795727
DOI10.17654/ADECPMAY2015_093_106zbMath1335.34084MaRDI QIDQ2795727
Publication date: 22 March 2016
Published in: Advances in Differential Equations and Control Processes (Search for Journal in Brave)
exponential convergenceHopfield neural networkGronwall-type inequalitynon-Lipschitz activation functions
Neural networks for/in biological studies, artificial life and related topics (92B20) Asymptotic properties of solutions to ordinary differential equations (34D05)
Related Items (4)
A nonlinear version of Halanay inequality and application to neural networks theory ⋮ A nonlinear version of the distributed Halanay inequality and its application ⋮ Time‐dependent neural networks with activation functions violating the standard Lipschitz condition ⋮ Asymptotic behavior of a BAM neural network with delays of distributed type
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