02597cam a2200325 a 450000100090000000300080000900500170001700600190003400700150005300800410006802000290010903500260013804000350016404200080019905000230020708200200023008400230025010000220027321000510029524500640034626000480041050400510045850600430050952010210055252005760157365000220214965000290217165000290220065000420222910513432BD-DhUL20150129112956.0m        d        cr  n         101029s2011    njua    sb    001 0 eng d  a9780470343968 (hardback)  a(WaSeSS)ssj0000525579  aDLCcDLCdDLCdWaSeSSdBD-DhUL  apcc 4aQ325.5b.H425 201100a006.31222bHES  aCOM0440002bisacsh1 aHe, Haibo,d1976-10aSelf-adaptive systems for machine intelligence10aSelf-adaptive systems for machine intelligence /cHaibo He.  aHoboken, N.J. :bWiley-Interscience,c2011.  aIncludes bibliographical references and index.  aLicense restrictions may limit access.  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.  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. 0aMachine learning. 0aSelf-organizing systems. 0aArtificial intelligence. 7aCOMPUTERS / Neural Networks2bisacsh.