MARC record from Internet Archive

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003 OCoLC
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008 960320s1997 nyua b 001 0 eng
010 $a 96014102
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050 00 $aQA76.87$b.T76 1997
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100 1 $aTsoukalas, Lefteri H.,$eauthor.
245 10 $aFuzzy and neural approaches in engineering /$cLefteri H. Tsoukalas, Robert E. Uhrig.
260 $aNew York :$bWiley,$c℗♭1997.
300 $axix, 587 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aAdaptive and learning systems for signal processing, communications, and control
500 $a"A Wiley-Interscience publication."
504 $aIncludes bibliographical references and index.
505 00 $g1.$tIntroduction to Hybrid Artificial Intelligence Systems --$g2.$tFoundations of Fuzzy Approaches --$g3.$tFuzzy Relations --$g4.$tFuzzy Numbers --$g5.$tLinguistic Descriptions and Their Analytical Forms --$g6.$tFuzzy Control --$g7.$tFundamentals of Neural Networks --$g8.$tBackpropagation and Related Training Algorithms --$g9.$tCompetitive, Associative, and Other Special Neural Networks --$g10.$tDynamic Systems and Neural Control --$g11.$tPractical Aspects of Using Neural Networks --$g12.$tFuzzy Methods in Neural Networks --$g13.$tNeural Methods in Fuzzy Systems --$g14.$tSelected Hybrid Neurofuzzy Applications --$g15.$tDynamic Hybrid Neurofuzzy Systems --$g16.$tExpert Systems in Neurofuzzy Systems --$g17.$tGenetic Algorithms --$g18.$tEpilogue --$gApp.$tT Norms and S Norms.
520 $aFuzzy and Neural Approaches in Engineering presents a detailed examination of the fundamentals of fuzzy systems and neural networks and then joins them synergistically - combining the feature extraction and modeling capabilities of the neural network with the representation capabilities of fuzzy systems. Exploring the value of relating genetic algorithms and expert systems to fuzzy and neural technologies, this forward-thinking text highlights an entire range of dynamic possibilities within soft computing.
520 8 $aWith examples of specifically designed to illuminate key concepts and overcome the obstacles of notation and overly mathematical presentations often encountered in other sources, plus tables, figures, and an up-to-date bibliography, this unique work is both an important reference and a practical guide to neural networks and fuzzy systems.
650 0 $aNeural networks (Computer science)
650 0 $aFuzzy systems.
650 0 $aEngineering$xData processing.
650 7 $aEngineering$xData processing.$2fast$0(OCoLC)fst00910334
650 7 $aFuzzy systems.$2fast$0(OCoLC)fst00936814
650 7 $aNeural networks (Computer science)$2fast$0(OCoLC)fst01036260
650 17 $aNeurale netwerken.$2gtt
650 17 $aFuzzy logic.$2gtt
650 17 $aProductie.$2gtt
650 7 $aInteligencia artificial (computacao)$2larpcal
650 7 $aRe seaux neuronaux (informatique)$2ram
650 7 $aSyste mes flous.$2ram
650 7 $aGe nie logiciel.$2ram
700 1 $aUhrig, Robert E.,$d1928-
776 08 $iOnline version:$aTsoukalas, Lefteri H.$tFuzzy and neural approaches in engineering.$dNew York : Wiley, ℗♭1997$w(OCoLC)605732221
776 08 $iOnline version:$aTsoukalas, Lefteri H.$tFuzzy and neural approaches in engineering.$dNew York : Wiley, ℗♭1997$w(OCoLC)609175466
830 0 $aAdaptive and learning systems for signal processing, communications, and control.
856 41 $3Table of contents$uhttp://catdir.loc.gov/catdir/toc/wiley022/96014102.html
856 42 $3Contributor biographical information$uhttp://catdir.loc.gov/catdir/bios/wiley041/96014102.html
856 42 $3Publisher description$uhttp://catdir.loc.gov/catdir/description/wiley031/96014102.html
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