Stability Analysis of Neural Networks

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Éditeur :

Springer


Paru le : 2021-12-05

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Description

This book discusses recent research on the stability of various neural networks with constrained signals. It investigates stability problems for delayed dynamical systems where the main purpose of the research is to reduce the conservativeness of the stability criteria. The book mainly focuses on the qualitative stability analysis of continuous-time as well as discrete-time neural networks with delays by presenting the theoretical development and real-life applications in these research areas. The discussed stability concept is in the sense of Lyapunov, and, naturally, the proof method is based on the Lyapunov stability theory. The present book will serve as a guide to enable the reader in pursuing the study of further topics in greater depth and is a valuable reference for young researcher and scientists. 
Pages
404 pages
Collection
n.c
Parution
2021-12-05
Marque
Springer
EAN papier
9789811665332
EAN PDF
9789811665349

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
7424 Ko
Prix
126,59 €
EAN EPUB
9789811665349

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
61901 Ko
Prix
126,59 €

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