000			03587cam a22005297a 4500
001			7915686
003			OSt
005			20210903115103.0
006			m d
007			cr n
008			081015s2010 gw a sb 001 0 eng d
015			_aGBA8B9704 _2bnb
015			_a10,A11 _2dnb
015			_a08,N26,0054 _2dnb
016	7		_a014778288 _2Uk
016	7		_a989060608 _2DE-101
020			_a9783540699101 (hbk. : acidfree paper)
028	5	2	_a11983774
035			_a(WaSeSS)ssj0000372456
038			_akhadija
040			_aUKM _beng _cUKM _dBTCTA _dBWX _dYDXCP _dC#P _dHEBIS _dALAUL _dDEBBG _dOCL _dOHX _dVRC _dDLC _dWaSeSS
042			_alccopycat
050		4	_aHF5548.2 _b.K6283 2010
050		4	_aHF5548.2
082			_a006.3 _bKOR
084			_a004 _2sdnb
084			_aQP 345 _2rvk
084			_aST 301 _2rvk
084			_aST 515 _2rvk
084			_aST 300 _2rvk
100	1		_aKordon, Arthur K. _982113
210	1	0	_aApplying computational intelligence
245	1	0	_aApplying computational intelligence _bhow to create value / _cArthur K. Kordon.
260			_aHeidelberg ; _aNew York : _bSpringer, _cc2010.
500			_aIncludes glossary.
504			_aIncludes bibliographical references and index.
506			_aLicense restrictions may limit access.
520			_aThe flow of academic ideas in the area of computational intelligence is impacting industrial practice at considerable speed. Practitioners face the challenge of tracking, understanding and applying the latest techniques, which often prove their value even before the underlying theories are fully understood. This book offers realistic guidelines on creating value from the application of computational intelligence methods. In Part I, the author offers simple explanations of the key computational intelligence technologies: fuzzy logic, neural networks, support vector machines, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he defines the typical business environment and analyzes the competitive advantages these techniques offer. In Part III, he introduces a methodology for effective real-world application of computational intelligence while minimizing development cost, and he outlines the critical, underestimated technology marketing efforts required. The methodology can improve the existing capabilities of Six Sigma, one of the most popular work processes in industry. Finally, in Part IV the author looks to technologies still in the research domain, such as perception-based computing, artificial immune systems, and systems with evolved structure, and he examines the future for computational intelligence applications while taking into account projected industrial needs. The author adopts a light tone in the book, visualizes many of the techniques and ideas, and supports the text with notes from successful implementations. The book is ideal for engineers implementing these techniques in the real world, managers charged with creating value and reducing costs in the related industries, and scientists in computational intelligence looking towards the application of their research.
563			_ahardcover
650		0	_aBusiness _xData processing. _93217
650		0	_aComputational intelligence. _981264
650		0	_aExpert systems (Computer science) _921983
773		0	_tSpringerLink ebooks - Engineering (2010)
856	4	0	_uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio7915686 _zFull text available from SpringerLink ebooks - Engineering (2010)
910			_aLibrary of Congress record
942			_2ddc _cBK
999			_c32912 _d32912