000			02673nam a2200337 a 4500
005			20250930133133.0
008			120322s2011 njua b 001 0 eng
010			_a2010-046375
020			_a9780470343968 (hbk.) _cRM257.44
039		9	_a201210100913 _bzabidah _c201209191209 _didah _c201203222027 _didah _y03-22-2012 _zidah
040			_aDLC _dUKM
090			_aQ325.5.H43 3
090			_aQ325.5 _b.H43 3
100	1		_aHe, Haibo, _d1976-
245	1	0	_aSelf-adaptive systems for machine intelligence / _cHaibo He.
260			_aHoboken, N.J. : _bJohn Wiley & Sons, _c2011.
300			_axvi, 230 p. : _bill. ; _c24 cm.
504			_aIncludes bibliographical references and index.
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. _961141
650		0	_aArtificial intelligence.
907			_a.b15287518 _b2021-05-28 _c2019-11-12
942			_c01 _n0 _kQ325.5.H43 3
914			_avtls003492563
990			_aza
991			_aFakulti Kejuruteraan
998			_al _b2012-09-03 _cm _da _feng _gnju _y0 _z.b15287518
999			_c512638 _d512638