Price: $109.99 – $93.75
(as of Dec 24,2024 06:23:03 UTC – Details)
Publisher : Springer; Softcover reprint of the original 1st ed. 2000 edition (December 13, 2011)
Language : English
Paperback : 208 pages
ISBN-10 : 1447112016
ISBN-13 : 978-1447112013
Item Weight : 10.7 ounces
Dimensions : 6.1 x 0.48 x 9.25 inches
Adaptive Control with Recurrent High-order Neural Networks: Theory and Industrial Applications (Advances in Industrial Control)
In the rapidly evolving field of industrial control systems, the use of advanced technologies such as neural networks has become increasingly prevalent. One of the most promising approaches in this area is the use of recurrent high-order neural networks for adaptive control.
This book, titled “Adaptive Control with Recurrent High-order Neural Networks: Theory and Industrial Applications,” offers a comprehensive overview of the theory behind these neural networks and their practical applications in various industrial settings. Authored by experts in the field, this book provides a deep dive into the mathematical foundations of recurrent high-order neural networks and explores how they can be used for adaptive control in industries such as manufacturing, robotics, and process control.
With a focus on real-world applications, this book also includes case studies and examples to demonstrate the effectiveness of recurrent high-order neural networks in enhancing the performance of industrial control systems. Whether you are a researcher, engineer, or industry professional working in the field of control systems, this book is a valuable resource for understanding the potential of neural networks in adaptive control.
Overall, “Adaptive Control with Recurrent High-order Neural Networks: Theory and Industrial Applications” is a must-read for anyone looking to stay ahead of the curve in the rapidly advancing field of industrial control systems.
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