@inproceedings{e7a7030bb5dd4acd99a5b04c3092d019,
title = "Absolute exponential stability of a class of neural networks",
abstract = "This paper investigates the absolute exponential stability (AEST) of a class of neural networks with a general class of partially Lipschitz continuous and monotone increasing activation functions. The main obtained result is that if the interconnection matrix T of the neural system satisfies that-T is an H-matrix with nonnegative diagonal elements, then the neural system is AEST.",
keywords = "Absolute exponential stability, Activation functions, Neural networks, Partial Lipschitz continuity",
author = "Changyin Sun and Shumin Fei and Kanjian Zhang and Jinde Cao and Feng, \{Chun Bo\}",
note = "Publisher Copyright: Copyright {\textcopyright} 2002 IFAC.; 15th World Congress of the International Federation of Automatic Control, 2002 ; Conference date: 21-07-2002 Through 26-07-2002",
year = "2002",
doi = "10.3182/20020721-6-es-1901.00723",
language = "英语",
isbn = "9783902661746",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "1",
pages = "421--426",
editor = "Gabriel Ferrate and Camacho, \{Eduardo F.\} and Luis Basanez and \{de la Puente\}, \{Juan. A.\}",
booktitle = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
edition = "1",
}