| 000 | 02567cam a2200313 a 4500 | ||
|---|---|---|---|
| 001 | 16523996 | ||
| 005 | 20130122095938.0 | ||
| 008 | 101029s2011 njua b 001 0 eng | ||
| 010 | _a 2010046375 | ||
| 020 | _a9780470343968 (hardback) | ||
| 040 |
_aDLC _cDLC _dDLC |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQ325.5 _b.H425 2011 |
| 082 | 0 | 0 |
_a006.31 HE/Self _222 |
| 084 |
_aCOM044000 _2bisacsh |
||
| 100 | 1 |
_aHe, Haibo, _d1976- |
|
| 245 | 1 | 0 |
_aSelf-adaptive systems for machine intelligence _cHaibo He. |
| 260 |
_aHoboken, N.J. : _bWiley and sons; _c2011 |
||
| 300 |
_axvi, 230 p. : _bill. ; _c24 cm. |
||
| 500 | _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"-- | ||
| 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"-- | ||
| 650 | 0 | _aMachine learning. | |
| 650 | 0 | _aSelf-organizing systems. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 7 |
_aCOMPUTERS / Neural Networks _2bisacsh. |
|
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
| 955 |
_bre04 2010-10-29 _cre04 2010-11-02 to Science/Tech _axn01 2011-12-09 1 copy rec'd., to CIP ver. |
||
| 999 |
_c112964 _d112964 |
||