02303nam 2200553 a 450 991083107200332120170815095405.01-118-48176-31-299-19026-X1-118-48190-91-118-48191-7(CKB)2670000000327713(EBL)1120831(MiAaPQ)EBC1120831(DLC) 2012035817(PPN)177153377(CaSebORM)9781118481912(OCoLC)808990405(EXLCZ)99267000000032771320120830d2013 uy 0engur|n|---|||||rdacontentrdamediardacarrierAutonomous learning systems[electronic resource] from data streams to knowledge in real-time /Plamen Angelov1st editionChichester, West Sussex, United Kingdom John Wiley & Sons Inc.20131 online resource (299 p.)Description based upon print version of record.1-119-95152-6 Includes bibliographical references and index.pt. I. Fundamentals -- pt. II. Methodology of autonomous learning systems -- pt. III. Applications of ALS. Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven - therSelf-organizing systemsMachine learningSelf-organizing systems.Machine learning.006.3006.3/1006.31Angelov Plamen P845344MiAaPQMiAaPQMiAaPQBOOK9910831072003321Autonomous learning systems3931088UNINA