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Stability Analysis of Neural Networks

Download or Read eBook Stability Analysis of Neural Networks PDF written by Grienggrai Rajchakit and published by Springer Nature. This book was released on 2021-12-05 with total page 415 pages. Available in PDF, EPUB and Kindle.
Stability Analysis of Neural Networks
Author :
Publisher : Springer Nature
Total Pages : 415
Release :
ISBN-10 : 9789811665349
ISBN-13 : 9811665346
Rating : 4/5 (49 Downloads)

Book Synopsis Stability Analysis of Neural Networks by : Grienggrai Rajchakit

Book excerpt: 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.


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