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Self-adaptive systems for machine in...
~
He, Haibo, (1976-.)
Self-adaptive systems for machine intelligence /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Self-adaptive systems for machine intelligence // Haibo He.
作者:
He, Haibo,
出版者:
Hoboken, N.J. :Wiley-Interscience, : 2011.,
面頁冊數:
xvi, 230 p. :ill. ; : 24 cm.;
標題:
Machine learning. -
ISBN:
9780470343968 (Cloth) :
Self-adaptive systems for machine intelligence /
He, Haibo,1976-.
Self-adaptive systems for machine intelligence /
Haibo He. - Hoboken, N.J. :Wiley-Interscience,2011. - xvi, 230 p. :ill. ;24 cm.
Includes bibliographical references and index.
"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"--
ISBN: 9780470343968 (Cloth) :NT2549
LCCN: 2010046375Subjects--Topical Terms:
561253
Machine learning.
LC Class. No.: Q325.5 / .H425 2011
Dewey Class. No.: 006.3/1
Self-adaptive systems for machine intelligence /
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"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"--
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