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Haibo He - Self-adaptive Systems for Machine Intelligence - 9780470343968 - V9780470343968
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Self-adaptive Systems for Machine Intelligence

€ 105.85
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Description for Self-adaptive Systems for Machine Intelligence Hardcover. 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.
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, ... Read more

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Product Details

Format
Hardback
Publication date
2011
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
248
Condition
New
Number of Pages
248
Place of Publication
, United States
ISBN
9780470343968
SKU
V9780470343968
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Haibo He
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, ... Read more

Reviews for Self-adaptive Systems for Machine Intelligence
"This comprehensive introduction to machine intelligence engineering and self-adaptive systems provides an overview of a variety of processes and technologies for the development of artificial intelligence." (Book News, 1 October 2011)  

Goodreads reviews for Self-adaptive Systems for Machine Intelligence


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