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Differential Evolution Algorithm Type 2 by Castillo Oscar (16 results)
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Condition: As New. Unread book in perfect condition.
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Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control (SpringerBriefs in Applied Sciences and Technology)
Book 118 of 322: SpringerBriefs in Applied Sciences and TechnologySeller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 66.96
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Differential Evolution Algorithm With Type-2 Fuzzy Logic for Dynamic Parameter Adaptation With Application to Intelligent Control
Book 118 of 322: SpringerBriefs in Applied Sciences and TechnologySeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Differential Evolution Algorithm With Type-2 Fuzzy Logic for Dynamic Parameter Adaptation With Application to Intelligent Control
Book 118 of 322: SpringerBriefs in Applied Sciences and TechnologySeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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US$ 19.85 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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Paperback. Condition: Brand New. 61 pages. 9.25x6.10x0.15 inches. In Stock.
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Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control
Book 118 of 322: SpringerBriefs in Applied Sciences and TechnologyPublished by Springer International Publishing, Springer Nature Switzerland Nov 2020, 2020
ISBN 10: 3030621324 ISBN 13: 9783030621322
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results. In this book, the authors test the proposed method using five benchmark control problems. First, the water tank, temperature, mobile robot, and inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. When we use fuzzy systems combined with the differential evolution algorithm, we can notice that the results obtained in each of the controllers are better and with increasing uncertainty, the results are even better. For this reason, the authors consider in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers¿ behavior in complex control problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 72 pp. Englisch.
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Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control
Book 118 of 322: SpringerBriefs in Applied Sciences and TechnologyPublished by Springer International Publishing, 2020
ISBN 10: 3030621324 ISBN 13: 9783030621322
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results. In this book, the authors test the proposed method using five benchmark control problems. First, the water tank, temperature, mobile robot, and inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. When we use fuzzy systems combined with the differential evolution algorithm, we can notice that the results obtained in each of the controllers are better and with increasing uncertainty, the results are even better. For this reason, the authors consider in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers' behavior in complex control problems.
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Taschenbuch. Condition: Neu. Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control | Oscar Castillo (u. a.) | Taschenbuch | vii | Englisch | 2020 | Springer | EAN 9783030621322 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control
Book 118 of 322: SpringerBriefs in Applied Sciences and TechnologyPublished by Springer International Publishing Nov 2020, 2020
ISBN 10: 3030621324 ISBN 13: 9783030621322
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results. In this book, the authors test the proposed method using five benchmark control problems. First, the water tank, temperature, mobile robot, and inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. When we use fuzzy systems combined with the differential evolution algorithm, we can notice that the results obtained in each of the controllers are better and with increasing uncertainty, the results are even better. For this reason, the authors consider in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers' behavior in complex control problems. 72 pp. Englisch.
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Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control
Book 118 of 322: SpringerBriefs in Applied Sciences and TechnologyPublished by Springer International Publishing, 2020
ISBN 10: 3030621324 ISBN 13: 9783030621322
Language: English
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control areaDemonstrates that using fuzzy systems combined with the differential evolution algorithm produ.
