Computational Intelligence : for Engineering and Manufacturing

This book presents a selected collection of contributions on a focused treatment of important elements of Computational Intelligence. Unlike traditional comp- ing, Computational Intelligence (CI) is tolerant of imprecise information, partial truthanduncertainty.TheprinciplecomponentsofCIthatcurrentl...

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Hauptverfasser: Andina, Diego, 19..-, Pham, Duc Truong, 1952- (VerfasserIn)
Weitere Verfasser: Pham, Duc Truong (HerausgeberIn)
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: New York, NY : Springer US [20..].
Cham : Springer Nature
Ausgabe:1st ed. 2007.
Schlagworte:
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Edition sous un autre format:• Computational Intelligence, Texte imprimé, 9780387374505
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520 |a This book presents a selected collection of contributions on a focused treatment of important elements of Computational Intelligence. Unlike traditional comp- ing, Computational Intelligence (CI) is tolerant of imprecise information, partial truthanduncertainty.TheprinciplecomponentsofCIthatcurrentlyhavefrequent applicationinEngineeringandManufacturingare:NeuralNetworks(NN),fuzzy logic(FL)andSupportVectorMachines(SVM).InCI,NNandSVMareconcerned withlearning,whileFLwithimprecisionandreasoning. ? This volume mainly covers a key element of Computational Intelligence learning. All the contributions in this volume have a direct relevance to neural ? networklearning fromneuralcomputingfundamentalstoadvancednetworkssuch asMultilayerPerceptrons(MLP),RadialBasisFunctionNetworks(RBF),andtheir relations with fuzzy set and support vector machines theory. The book also d- cussesdifferentapplicationsinEngineeringandManufacturing.Theseareamong applicationswhereCIhaveexcellentpotentialsforuse. Bothnoviceandexpertreadersshouldfindthisbookausefulreferenceinthefield ofComputationalIntelligence.Theeditorsandtheauthorshopetohavecontributed tothefieldbypavingthewayforlearningparadigmstosolvereal-worldproblems D.Andina xi ACKNOWLEDGEMENTS This document has been produced with the financial assistance of the European Community,ALFAprojectII-0026-FA.Theviewsexpressedhereinarethoseof theAuthorsandcanthereforeinnowaybetakentoreflecttheofficialopinionof theEuropeanCommunity. TheeditorswishtothankDrA.AfifyofCardiffUniversityandMrA.Jevticof theTechnicalUniversityofMadridfortheirsupportandhelpfulcommentsduring therevisionofthistext. The editors also wish to thank Nagib Callaos, President of the International Institute of Informatics and Systemics, IIIS, for his permission and freedom to reproduceinChapters2and4ofthisbookcontentsfromthebookbyD.Andina and F.Ballesteros (Eds), Recent Advances in Neural Networks Ed. IIIS press, ILL,USA(2000). xiii CHAPTER 1 SOFTCOMPUTINGANDITSAPPLICATIONS INENGINEERINGANDMANUFACTURE D.T.PHAM,P.T.N.PHAM,M.S.PACKIANATHER,A.A.AFIFY ManufacturingEngineeringCentre,CardiffUniversity,CardiffCF243AA,UnitedKingdom INTRODUCTION Softcomputingisarecenttermforacomputingparadigmthathasbeeninexistence foralmostfiftyyears.Thischapterreviewsfivesoftcomputingtools.Theyare: knowledge-based systems, fuzzy logic, inductive learning, neural networks and genetic algorithms. All of these tools have found many practical applications. Examples of applications in engineering and manufacture will be given in the chapter. 1. KNOWLEDGE-BASEDSYSTEMS Knowledge-basedsystems,orexpertsystems,arecomputerprogramsembodying knowledge about a narrow domain for solving problems related to that domain 
650 |a Reconnaissance des formes (informatique) 
650 |a Intelligence artificielle 
650 |a Reconnaissance optique des formes (informatique) 
650 |a Réseaux neuronaux (informatique) 
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