Real world applications of computational intelligence

Computational Intelligence (CI) has emerged as a novel and highly diversified paradigm supporting the design, analysis and deployment of intelligent systems. This book presents a careful selection of the field that very well reflects the breadth of the discipline. It covers a range of highly relevan...

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Detalhes bibliográficos
Autor principal: Negoita, Mircea Gh (Directeur de la publication)
Outros Autores: Reusch, Bernd (Éditeur intellectuel), Reusch, Bernd, 1941- (Directeur de la publication)
Formato: Livre numérique
Idioma:Anglais
Publicado em: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Cham :
Cham :
Edição:1st ed. 2005.
Colecção:Studies in Fuzziness and Soft Computing 179
Acesso em linha:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Real World Applications of Computational Intelligence, Texte imprimé, 9783540250067
• Real World Applications of Computational Intelligence, Texte imprimé, 9783540807933
• Real World Applications of Computational Intelligence, Texte imprimé, 9783540250067
• Real World Applications of Computational Intelligence, Texte imprimé, 9783642426483
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505 1 |a Part I : NZ German School of Computational Intelligence at KES2004 Basics of Engineering The Intelligent Hybrid Systems - Not Industrial Applications Only Basics of Machine Learning by Support Vector Machines Supporting Deep Learning in an Open-ended Domain Data Driven Fuzzy Modelling with Neural Networks Hybrid Computational Intelligence Systems for Real World Applications Autonomous Intelligent Systems from Sci-Fi to Reality Part II - Selected KES2004 Conference Tutorials Introduction to Rough Set Theory and Applications Bioinformatics with Evolutionary Computation Data Mining; Algorithms and Applications 
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520 |a Computational Intelligence (CI) has emerged as a novel and highly diversified paradigm supporting the design, analysis and deployment of intelligent systems. This book presents a careful selection of the field that very well reflects the breadth of the discipline. It covers a range of highly relevant and practical design principles governing the development of intelligent systems in data mining, robotics, bioinformatics, and intelligent tutoring systems. The lucid presentations, coherent organization, breadth and the authoritative coverage of the area make the book highly attractive for everybody interested in the design and analysis of intelligent systems 
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