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A proof of Kaszkurewicz and Bhaya's conjecture on absolute stability of neural networks in two-neuron case

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Publication:2723603
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DOI10.1109/81.841868zbMath1050.92500OpenAlexW2122931404MaRDI QIDQ2723603

Jun Wang, Xuebin Liang

Publication date: 8 July 2001

Published in: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/2dd0b44d0c9566408986426a01c5f7d3d2a5572b



Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20)


Related Items (1)

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




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