Self-adaptive Systems for Machine Intelligence

Haibo He

ISBN 10: 0470343966 / ISBN 13: 9780470343968

Published by John Wiley and Sons Ltd, 2011

About this Item

This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. Num Pages: 248 pages, Illustrations. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 237 x 161 x 18. Weight in Grams: 520. . 2011. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780470343968

Bibliographic Details

• Title: Self-adaptive Systems for Machine Intelligence
• Publisher: John Wiley and Sons Ltd
• Publication Date: 2011
• Language: English
• ISBN 10: 0470343966
• ISBN 13: 9780470343968
• Binding: Hardcover
• Condition: New

About this title

Synopsis

This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain.

Self-adaptive intelligent systems have wide applications from military security systems to civilian daily life. In this book, different application problems, including pattern recognition, classification, image recovery, and sequence learning, will be presented to show the capability of the proposed systems in learning, memory, and prediction. Therefore, this book will also provide potential new solutions to many real-world applications.

About the Author

Haibo He, PhD, is Assistant Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island. His primary research interest is computational intelligence and self-adaptive systems, including optimization and prediction, biologically inspired machine intelligence, machine learning and data mining, hardware design (VLSI/FPGA) for machine intelligence, as well as various application fields such as smart grid, sensor networks, and cognitive radio networks.