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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

5. Stability and Synchronization of Neutral-Type Neural Networks

verfasst von : Wuneng Zhou, Jun Yang, Liuwei Zhou, Dongbing Tong

Erschienen in: Stability and Synchronization Control of Stochastic Neural Networks

Verlag: Springer Berlin Heidelberg

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Abstract

When the states of a system are decided not only by states of the current time and the past time but also by the derivative of the past states, the system can be called a neutral system. The problems of stability and synchronization of neutral neural networks play an important role in the same issues of neural networks. In this chapter, robust stability of neutral neural networks is first discussed.

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Vorheriges Kapitel Adaptive Synchronization of Neural Networks
Nächstes Kapitel Stability and Synchronization of Neural Networks with Lévy Noise
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Metadaten
Titel
Stability and Synchronization of Neutral-Type Neural Networks
verfasst von
Wuneng Zhou
Jun Yang
Liuwei Zhou
Dongbing Tong
Copyright-Jahr
2016
Verlag
Springer Berlin Heidelberg
Buch
Stability and Synchronization Control of Stochastic Neural Networks

Print ISBN: 978-3-662-47832-5

Electronic ISBN: 978-3-662-47833-2

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-662-47833-2_5

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