ISBN: 9783790815375
Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristi… Plus…
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2002, ISBN: 3790815373
[EAN: 9783790815375], [SC: 4.0], [PU: Berlin Springer Verlag], FUZZY SYSTEMS; EVOLUTIONARY ALGORITHMS; KNOWLEDGE EXTRACTION; INCORPORATION; NEURAL NETWORKS, Gebraucht - Sehr gut Zustand: … Plus…
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2002, ISBN: 3790815373
2003 Gebundene Ausgabe Fuzzy Logik - Fuzzy Set, Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Neuronales Netz - Neuronaler Computer - Neurocomputer, Information… Plus…
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2002, ISBN: 9783790815375
Physica-Verlag GmbH & Co, Relié, Auflage: 2003 ed. 272 Seiten, Publiziert: 2002-11-18T00:00:01Z, Produktgruppe: Livre, 2.84 kg, Livres anglais et étrangers, Boutiques, Livres, Dictionnair… Plus…
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Advanced Fuzzy Systems Design and Applications. (=Studies in Fuzziness and Soft Computing, 112). - edition reliée, livre de poche
ISBN: 9783790815375
282 S.; Ill. Hardcover
Antikbuch24.de |
ISBN: 9783790815375
Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristi… Plus…
2002, ISBN: 3790815373
[EAN: 9783790815375], [SC: 4.0], [PU: Berlin Springer Verlag], FUZZY SYSTEMS; EVOLUTIONARY ALGORITHMS; KNOWLEDGE EXTRACTION; INCORPORATION; NEURAL NETWORKS, Gebraucht - Sehr gut Zustand: … Plus…
2002
ISBN: 3790815373
2003 Gebundene Ausgabe Fuzzy Logik - Fuzzy Set, Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Neuronales Netz - Neuronaler Computer - Neurocomputer, Information… Plus…
2002, ISBN: 9783790815375
Physica-Verlag GmbH & Co, Relié, Auflage: 2003 ed. 272 Seiten, Publiziert: 2002-11-18T00:00:01Z, Produktgruppe: Livre, 2.84 kg, Livres anglais et étrangers, Boutiques, Livres, Dictionnair… Plus…
Advanced Fuzzy Systems Design and Applications. (=Studies in Fuzziness and Soft Computing, 112). - edition reliée, livre de poche
ISBN: 9783790815375
282 S.; Ill. Hardcover
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Informations détaillées sur le livre - Advanced Fuzzy Systems Design and Applications
EAN (ISBN-13): 9783790815375
ISBN (ISBN-10): 3790815373
Version reliée
Livre de poche
Date de parution: 2002
Editeur: Physica-Verlag GmbH & Co
288 Pages
Poids: 0,596 kg
Langue: eng/Englisch
Livre dans la base de données depuis 2007-05-28T21:11:48+02:00 (Paris)
Page de détail modifiée en dernier sur 2024-03-01T20:27:01+01:00 (Paris)
ISBN/EAN: 3790815373
ISBN - Autres types d'écriture:
3-7908-1537-3, 978-3-7908-1537-5
Autres types d'écriture et termes associés:
Auteur du livre: jin
Titre du livre: advanced, applications soft computing, fuzzy systems, soft oft, studies design, fuzzy systeme, jin, design and applications
Données de l'éditeur
Auteur: Yaochu Jin
Titre: Studies in Fuzziness and Soft Computing; Advanced Fuzzy Systems Design and Applications
Editeur: Physica; Physica
272 Pages
Date de parution: 2002-11-18
Heidelberg; DE
Langue: Anglais
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
X, 272 p. 228 illus.
BB; Hardcover, Softcover / Informatik, EDV/Informatik; Computerprogrammierung und Softwareentwicklung; Verstehen; algorithms; artificial neural network; evolution; evolutionary algorithm; knowledge; knowledge discovery; knowledge representation; learning; modeling; multi-objective optimization; neural network; optimization; robot; robotics; simulation; algorithm analysis and problem complexity; Programming Techniques; Artificial Intelligence; Mathematical Logic and Foundations; Data Structures and Information Theory; Algorithms; Künstliche Intelligenz; Mathematik: Logik; Mathematische Grundlagen; Algorithmen und Datenstrukturen; Informationstheorie; BC
1. Fuzzy Sets and Fuzzy Systems.- 1.1 Basics of Fuzzy Sets.- 1.2 Fuzzy Rule Systems.- 1.3 Interpretability of Fuzzy Rule System.- 1.4 Knowledge Processing with Fuzzy Logic.- 2. Evolutionary Algorithms.- 2.1 Introduction.- 2.2 Generic Evolutionary Algorithms.- 2.3 Adaptation and Self-Adaptation in Evolutionary Algorithms.- 2.4 Constraints Handling.- 2.5 Multi-objective Evolution.- 2.6 Evolution with Uncertain Fitness Functions.- 2.7 Parallel Implementations.- 2.8 Summary.- 3. Artificial Neural Networks.- 3.1 Introduction.- 3.2 Feedforward Neural Network Models.- 3.3 Learning Algorithms.- 3.4 Improvement of Generalization.- 3.5 Rule Extraction from Neural Networks.- 3.6 Interaction between Evolution and Learning.- 3.7 Summary.- 4. Conventional Data-driven Fuzzy Systems Design.- 4.1 Introduction.- 4.2 Fuzzy Inference Based Method.- 4.3 Wang-Mendel’s Method.- 4.4 A Direct Method.- 4.5 An Adaptive Fuzzy Optimal Controller.- 4.6 Summary.- 5.Neural Network Based Fuzzy Systems Design.- 5.1 Neurofuzzy Systems.- 5.2 The Pi-sigma Neurofuzzy Model.- 5.3 Modeling and Control Using the Neurofuzzy System.- 5.4 Neurofuzzy Control of Nonlinear Systems.- 5.5 Summary.- 6. Evolutionary Design of Fuzzy Systems.- 6.1 Introduction.- 6.2 Evolutionary Design of Flexible Structured Fuzzy Controller..- 6.3 Evolutionary Optimization of Fuzzy Rules.- 6.4 Fuzzy Systems Design for High-Dimensional Systems.- 6.5 Summary.- 7. Knowledge Discovery by Extracting Interpretable Fuzzy Rules.- 7.1 Introduction.- 7.2 Evolutionary Interpretable Fuzzy Rule Generation.- 7.3 Interactive Co-evolution for Fuzzy Rule Extraction.- 7.4 Fuzzy Rule Extraction from RBF Networks.- 7.5 Summary.- 8. Fuzzy Knowledge Incorporation into Neural Networks.- 8.1 Data and A Priori Knowledge.- 8.2 Knowledge Incorporation in NeuralNetworks for Control.- 8.3 Fuzzy Knowledge Incorporation By Regularization.- 8.4 Fuzzy Knowledge as A Related Task in Learning.- 8.5 Simulation Studies.- 8.6 Summary.- 9. Fuzzy Preferences Incorporation into Multi-objective Optimization.- 9.1 Multi-objective Optimization and Preferences Handling.- 9.2 Evolutionary Dynamic Weighted Aggregation.- 9.3 Fuzzy Preferences Incorporation in MOO.- 9.4 Summary.- References.Includes supplementary material: sn.pub/extras
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