𝔖 Bobbio Scriptorium
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A new neural network approach classifies olfactory signals with high accuracy

✍ Scribed by Roland Linder; Siegfried J. Pöppl


Book ID
117640993
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
256 KB
Volume
14
Category
Article
ISSN
0950-3293

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This paper considers the problem of exponential stability analysis of neural networks with time-varying delays. The activation functions are assumed to be globally Lipschitz continuous. A linear matrix inequality (LMI) approach is developed to derive sufficient conditions ensuring the delayed neural