Evolving fuzzy systems methodologies von lughofer edwin (25 Ergebnisse)
Sprache: Englisch
Verlag: Berlin ; Heidelberg : Springer, 2011
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
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OPp., gebundene Ausgabe. Zustand: Gut. XXIV, 454 S.: graph. Darst. ; 24 cm, Cover with little wear, good condition. ISBN: 9783642180866 Altersfreigabe FSK ab 0 Jahre Sprache: Englisch Gewicht in Gramm: 1050.
Sprache: Englisch
Verlag: J.B. Metzler, 2011
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 480 | Sprache: Englisch | Produktart: Bücher | In today¿s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human beha…viors or environmental influences.Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.
Sprache: Englisch
Verlag: J.B. Metzler, 2011
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
- Hardcover
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 480 | Sprache: Englisch | Produktart: Bücher | In today¿s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human beha…viors or environmental influences.Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.
Sprache: Englisch
Verlag: Springer, 2013
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
- Softcover
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Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2013
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
- Softcover
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Sprache: Englisch
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Sprache: Englisch
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Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
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Sprache: Englisch
Verlag: Springer, 2013
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
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Sprache: Englisch
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Sprache: Englisch
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- Softcover
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Weitere BilderSprache: Englisch
Verlag: Springer, 2013
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
- Softcover
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Taschenbuch. Zustand: Neu. Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications | Edwin Lughofer | Taschenbuch | Studies in Fuzziness and Soft Computing | xxiv | Englisch | 2013 | Springer | EAN 9783642266928 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, jue…rgen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, 2013
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
- Softcover
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Sprache: Englisch
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- Softcover
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Sprache: Englisch
Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2013
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In today's real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or envir…onmental influences.Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2011
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
- Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In today's real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmenta…l influences.Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.
Sprache: Englisch
Verlag: Springer, 2013
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
- Softcover
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Sprache: Englisch
Verlag: Springer, 2011
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
- Hardcover
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- Hardcover
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In today's real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human be…haviors or environmental influences.Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems. 480 pp. Englisch.
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Verlag: Springer Berlin Heidelberg Jan 2011, 2011
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
- Hardcover
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In today's real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors… or environmental influences.Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems. 480 pp. Englisch.
Sprache: Englisch
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Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
- Hardcover
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Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In today¿s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or…environmental influences.Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling.This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines.The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 480 pp. Englisch.
Sprache: Englisch
Verlag: Springer, Springer Feb 2013, 2013
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
- Softcover
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In today¿s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behavi…ors or environmental influences.Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling.This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines.The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 480 pp. Englisch.
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Verlag: Springer, 2013
Serie: Studies in Fuzziness and Soft Computing, Buch 60 von 183. Buch 60 von 183 - Studies in Fuzziness and Soft Computing
- Softcover
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