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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing : An Evolutionary Approach for Neural Networks and Fuzzy Systems - Oscar Castillo
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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing : An Evolutionary Approach for Neural Networks and Fuzzy Systems - Livres de poche

2010, ISBN: 364206325X

[EAN: 9783642063251], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], ARCHITECTURE; ARTIFICIALINTELLIGENCE; COMPLEXITY; COMPUTER; COMPUTERVISION; FUZZYSYSTEM; FUZZYSYSTEMS; GENETICA… Plus…

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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing, Band 172) - Melin, Patricia
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Melin, Patricia:

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing, Band 172) - Livres de poche

2010, ISBN: 9783642063251

Mitwirkende: Castillo, Oscar, Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2005, 288 Seiten, Publiziert: 2010-11-30T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr… Plus…

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Castillo, Oscar; Melin, Patricia:
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing An Evolutionary Approach for Neural Networks and Fuzzy Systems - Livres de poche

2010

ISBN: 364206325X

Edition reliée

Softcover reprint of hardcover 1st ed. 2005 Kartoniert / Broschiert Mathematik für Ingenieure, Elektronik, Theoretische Informatik, Künstliche Intelligenz, Mustererkennung, Digitale Sig… Plus…

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Melin, Patricia:
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing, 172) - Livres de poche

ISBN: 9783642063251

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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing : An Evolutionary Approach for Neural Networks and Fuzzy Systems - Livres de poche

ISBN: 9783642063251

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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing, Band 172)

This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.

Informations détaillées sur le livre - Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing, Band 172)


EAN (ISBN-13): 9783642063251
ISBN (ISBN-10): 364206325X
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Springer
288 Pages
Poids: 0,439 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2011-03-04T15:02:58+01:00 (Zurich)
Page de détail modifiée en dernier sur 2023-12-07T17:06:22+01:00 (Zurich)
ISBN/EAN: 9783642063251

ISBN - Autres types d'écriture:
3-642-06325-X, 978-3-642-06325-1
Autres types d'écriture et termes associés:
Auteur du livre: melin, castillo
Titre du livre: neural network for pattern recognition, soft computing, hybrid, evolutionary computing, pattern recognition and neural networks, fuzzy


Données de l'éditeur

Auteur: Patricia Melin; Oscar Castillo
Titre: Studies in Fuzziness and Soft Computing; Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing - An Evolutionary Approach for Neural Networks and Fuzzy Systems
Editeur: Springer; Springer Berlin
272 Pages
Date de parution: 2010-11-30
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Langue: Anglais
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XIV, 272 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Theoretische Informatik; Verstehen; algorithm; algorithms; architecture; artificial intelligence; complexity; computer; computer vision; fuzzy; fuzzy system; fuzzy systems; genetic algorithms; intelligence; intelligent systems; logic; optimization; Theory of Computation; Mathematical and Computational Engineering Applications; Automated Pattern Recognition; Artificial Intelligence; Control, Robotics, Automation; Signal, Speech and Image Processing; Mathematik für Ingenieure; Mustererkennung; Künstliche Intelligenz; Regelungstechnik; Elektronik; Digitale Signalverarbeitung (DSP); BB; EA

Introduction to Pattern Recognition with Intelligent Systems.- Type-1 Fuzzy Logic.- Type-2 Fuzzy Logic and Intuitionistic Fuzzy Logic.- Supervised Neural Networks.- Unsupervised Neural Networks.- Modular Neural Networks.- Evolutionary Computing for Architecture Optimization.- Clustering with Intelligent Techniques.- Face Recognition with Modular Neural Networks and Fuzzy Measures.- Fingerprint Recognition with Modular Neural Networks and Fuzzy Measures.- Voice Recognition with Neural Networks and Genetic Algorithms.- Human Recognition Using Face, Fingerprint and Voice.
Describes the use of soft computing techniques for achieving pattern recognition in real-world applications Shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition

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