000			03920nam a2200925 i 4500
001			5273099
003			IEEE
005			20200421114116.0
006			m o d
007			cr |n|||||||||
008			151221s1995 nyua ob 001 eng d
020			_a9780470546826 _qelectronic
020			_z9780780311282 _qprint
020			_z0470546824 _qelectronic
024	7		_a10.1109/9780470546826 _2doi
035			_a(CaBNVSL)mat05273099
035			_a(IDAMS)0b000064810d0b7c
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aQA76.87 _b.K38 1996eb
082	0	4	_a006.3 _222
100	1		_aKartalopoulos, Stamatios V., _eauthor.
245	1	0	_aUnderstanding neural networks and fuzzy logic : _bbasic concepts and applications / _cStamatios V. Kartakapoulos ; IEEE Neural Networks Council, sponsor.
264		1	_aNew York : _bInstitute of Electrical and Electronics Engineers, _cc1996.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[1995]
300			_a1 PDF (xxiv, 205 pages) : _billustrations.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aIEEE Press understanding science & technology series ; _v2
504			_aIncludes bibliographical references and index.
505	0		_aPreface. Acknowledgments. Introduction. Biological Neural Networks. Artificial Neural Networks: Concepts Neural Network Paradigms. Fuzzy Logic. Fuzzy Neural Networks. Applications. Chapter Review Answers. Index.
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aUnderstand the fundamentals of the emerging field of fuzzy neural networks, their applications and the most used paradigms with this carefully organized state-of-the-art textbook. Previously tested at a number of noteworthy conference tutorials, the simple numerical examples presented in this book provide excellent tools for progressive learning. UNDERSTANDING NEURAL NETWORKS AND FUZZY LOGIC offers a simple presentation and bottom-up approach that is ideal for working professional engineers, undergraduates, medical/biology majors, and anyone with a nonspecialist background. Sponsored by: IEEE Neural Networks Council.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/21/2015.
650		0	_aNeural networks (Computer science)
650		0	_aFuzzy systems.
655		0	_aElectronic books.
695			_aAdaptation model
695			_aArtificial neural networks
695			_aBiological neural networks
695			_aBiological system modeling
695			_aBiomembranes
695			_aBismuth
695			_aBrain modeling
695			_aChemicals
695			_aControl systems
695			_aElectric potential
695			_aFeature extraction
695			_aFuzzy logic
695			_aFuzzy neural networks
695			_aIndexes
695			_aInput variables
695			_aLogic gates
695			_aMathematical model
695			_aNerve fibers
695			_aNeurons
695			_aNeurotransmitters
695			_aNoise
695			_aPattern recognition
695			_aPhotodetectors
695			_aProteins
695			_aQueueing analysis
695			_aRandom access memory
695			_aRegions
695			_aShape
695			_aSignal processing algorithms
695			_aSpeech
695			_aSpeech recognition
695			_aTraining
695			_aVehicles
710	2		_aJohn Wiley & Sons, _epublisher.
710	2		_aIEEE Neural Networks Council.
710	2		_aIEEE Xplore (Online service), _edistributor.
776	0	8	_iPrint version: _z9780780311282
830		0	_aIEEE Press understanding science & technology series ; _v2
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5273099
942			_cEBK
999			_c59556 _d59556