000			02648cam a2200349 a 4500
001			10513432
003			BD-DhUL
005			20150129112956.0
006			m d
007			cr n
008			101029s2011 njua sb 001 0 eng d
020			_a9780470343968 (hardback)
035			_a(WaSeSS)ssj0000525579
040			_aDLC _cDLC _dDLC _dWaSeSS _dBD-DhUL
042			_apcc
050		4	_aQ325.5 _b.H425 2011
082	0	0	_a006.31 _222 _bHES
084			_aCOM044000 _2bisacsh
100	1		_aHe, Haibo, _d1976-
210	1	0	_aSelf-adaptive systems for machine intelligence
245	1	0	_aSelf-adaptive systems for machine intelligence / _cHaibo He.
260			_aHoboken, N.J. : _bWiley-Interscience, _c2011.
504			_aIncludes bibliographical references and index.
506			_aLicense restrictions may limit access.
520			_a"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"-- _cProvided by publisher.
520			_a"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"-- _cProvided by publisher.
650		0	_aMachine learning.
650		0	_aSelf-organizing systems.
650		0	_aArtificial intelligence.
650		7	_aCOMPUTERS / Neural Networks _2bisacsh.
942			_2ddc _cBK
999			_c1273 _d1273