Edwin Lughofer (75 results)
- Softcover
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- Hardcover
- First Edition
Seller: SpringBooks, Berlin, GermanySpringBooks
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- Softcover
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Taschenbuch. Condition: Neu. Evolving Fuzzy Models | Incremental Learning, Interpretability and Stability Issues, Applications | Edwin Lughofer | Taschenbuch | 156 S. | Englisch | 2013 | VDM Verlag Dr. Müller e.K. | EAN 9783836484657 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt,…info[at]bod[dot]de | Anbieter: preigu.
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 156 pages. 8.66x5.91x0.36 inches. In Stock.
Language: English
Published by Berlin ; Heidelberg : Springer 2011
Series: Studies in Fuzziness and Soft Computing, Book 60 of 183. Book 60 of 183 - Studies in Fuzziness and Soft Computing
- Hardcover
Seller: Druckwaren Antiquariat, Salzwedel, GermanyDruckwaren Antiquariat
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OPp., gebundene Ausgabe. Condition: 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.
- Softcover
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- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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Condition: New. pp. 454.
- Softcover
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Condition: New. pp. 454.
More images- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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US$ 166.24
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Taschenbuch. Condition: Neu. Learning in Non-Stationary Environments | Methods and Applications | Edwin Lughofer (u. a.) | Taschenbuch | xii | Englisch | 2014 | Springer US | EAN 9781489993403 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com…| Anbieter: preigu.
Language: English
Published by J.B. Metzler 2011
Series: Studies in Fuzziness and Soft Computing, Book 60 of 183. Book 60 of 183 - Studies in Fuzziness and Soft Computing
- Hardcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: 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 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.
Language: English
Published by J.B. Metzler 2011
Series: Studies in Fuzziness and Soft Computing, Book 60 of 183. Book 60 of 183 - Studies in Fuzziness and Soft Computing
- Hardcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: 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 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.
- Hardcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 452 | Sprache: Englisch | Produktart: Bücher | Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system complexity and state changes, information sources, the need for faster data… handling and the integration of environmental influences. Intelligent systems, equipped with a taxonomy of data-driven system identification and machine learning algorithms, can handle these problems partially. Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences. Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dynamic learning methods serve as keystones for achieving models with high accuracy. Rather than rely on a mathematical theorem/proof style, the editors highlight numerous figures, tables, examples and applications, together with their explanations. This approach offers a useful basis for further investigation and fresh ideas and motivates and inspires newcomers to explore this promising and still emerging field of research.
- Hardcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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- Hardcover
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Condition: New.
Language: English
Published by Springer 2013
Series: Studies in Fuzziness and Soft Computing, Book 60 of 183. Book 60 of 183 - Studies in Fuzziness and Soft Computing
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system complexity and state changes, information sources, the need for faster data handling and the int…egration of environmental influences. Intelligent systems, equipped with a taxonomy of data-driven system identification and machine learning algorithms, can handle these problems partially. Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences. Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dynamic learning methods serve as keystones for achieving models with high accuracy. Rather than rely on a mathematical theorem/proof style, the editors highlight numerous figures, tables, examples and applications, together with their explanations. This approach offers a useful basis for further investigation and fresh ideas and motivates and inspires newcomers to explore this promising and still emerging field of research.
Language: English
Published by Springer Berlin Heidelberg 2011
Series: Studies in Fuzziness and Soft Computing, Book 60 of 183. Book 60 of 183 - Studies in Fuzziness and Soft Computing
- Hardcover
Seller: moluna, Greven, Germanymoluna
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Gebunden. Condition: New.
Language: English
Published by Springer Berlin Heidelberg 2013
Series: Studies in Fuzziness and Soft Computing, Book 60 of 183. Book 60 of 183 - Studies in Fuzziness and Soft Computing
- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New.
Language: English
Published by Springer 2011
Series: Studies in Fuzziness and Soft Computing, Book 60 of 183. Book 60 of 183 - Studies in Fuzziness and Soft Computing
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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US$ 259.62
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Condition: New. In.
Language: English
Published by Springer 2013
Series: Studies in Fuzziness and Soft Computing, Book 60 of 183. Book 60 of 183 - Studies in Fuzziness and Soft Computing
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system complexity and state changes, information sources, the need for faster data handling and…the integration of environmental influences. Intelligent systems, equipped with a taxonomy of data-driven system identification and machine learning algorithms, can handle these problems partially. Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences. Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dynamic learning methods serve as keystones for achieving models with high accuracy. Rather than rely on a mathematical theorem/proof style, the editors highlight numerous figures, tables, examples and applications, together with their explanations. This approach offers a useful basis for further investigation and fresh ideas and motivates and inspires newcomers to explore this promising and still emerging field of research.
Language: English
Published by Springer 2013
Series: Studies in Fuzziness and Soft Computing, Book 60 of 183. Book 60 of 183 - Studies in Fuzziness and Soft Computing
- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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Language: English
Published by Springer International Publishing, Springer International Publishing 2019
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction an…d self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry 4.0 and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet ofThings. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power.
Language: English
Published by Springer 2013
Series: Studies in Fuzziness and Soft Computing, Book 60 of 183. Book 60 of 183 - Studies in Fuzziness and Soft Computing
- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 440 pages. 5.25x6.00x1.05 inches. In Stock.
