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035   $a(DLC)  2012035817
035   $a(PPN)177153377
035   $a(CaSebORM)9781118481912
035   $a(OCoLC)808990405
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100   $a20120830d2013      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aAutonomous learning systems$b[electronic resource] $efrom data streams to knowledge in real-time /$fPlamen Angelov
205   $a1st edition
210   $aChichester, West Sussex, United Kingdom $cJohn Wiley & Sons Inc.$d2013
215   $a1 online resource (299 p.)
300   $aDescription based upon print version of record.
311   $a1-119-95152-6 
320   $aIncludes bibliographical references and index.
327   $apt. I. Fundamentals -- pt. II. Methodology of autonomous learning systems -- pt. III. Applications of ALS.
330   $a 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 - ther
606   $aSelf-organizing systems
606   $aMachine learning
615  0$aSelf-organizing systems.
615  0$aMachine learning.
676   $a006.3
676   $a006.3/1
676   $a006.31
700   $aAngelov$b Plamen P$0845344
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910831072003321
996   $aAutonomous learning systems$93931088
997   $aUNINA