9783031597138 - type-3 fuzzy logic in time series prediction di castillo, oscar; melin, patricia (10 risultati)

Lingua: Inglese
Editore: Springer, 2024
Serie: Libro 345 di 472 - SpringerBriefs in Applied Sciences and Technology
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Condizione: New. 2024th edition NO-PA16APR2015-KAP.

Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland, 2024
Serie: Libro 345 di 472 - SpringerBriefs in Applied Sciences and Technology
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the field of type-3 fuzzy logic for applications in time series prediction. The main idea is that a higher type and order of fuzzy logic can help in solving various prediction problems and find better results. In addition, neu…ral networks and fractal theory are employed in enhancing prediction results. In this regard, several hybrid intelligent methods are offered. In this book we test the proposed methods using several prediction problems, like predicting COVID-19 and the stock market. We can notice that when Type-3 fuzzy systems are implemented to model the behavior of systems, the results in prediction are enhanced, because the management of uncertainty is better. For this reason, we consider in this book the proposed methods using type-3 fuzzy systems, neural networks and fractal theory to improve the prediction behavior of the complex nonlinear systems. This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic techniques for solving complex prediction problems. This book can also be used as a reference for graduate courses like the following: soft computing, fuzzy logic, neural networks, bio-inspired algorithms, intelligent prediction, and similar ones. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book.

Lingua: Inglese
Editore: Springer, 2024
Serie: Libro 345 di 472 - SpringerBriefs in Applied Sciences and Technology
- Brossura
Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Type-3 Fuzzy Logic in Time Series Prediction | Oscar Castillo (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | viii | Englisch | 2024 | Springer | EAN 9783031597138 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]…hartmann[at]springer[dot]com | Anbieter: preigu.

Lingua: Inglese
Editore: Springer, 2024
Serie: Libro 345 di 472 - SpringerBriefs in Applied Sciences and Technology
- Brossura
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Lingua: Inglese
Editore: Springer, 2024
Serie: Libro 345 di 472 - SpringerBriefs in Applied Sciences and Technology
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Condizione: new. Questo è un articolo print on demand.

Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland Mai 2024, 2024
Serie: Libro 345 di 472 - SpringerBriefs in Applied Sciences and Technology
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the field of type-3 fuzzy logic for applications in time series prediction. The main idea is that a higher type and order of fuzzy logic can help in solving various prediction problems and find better results.…In addition, neural networks and fractal theory are employed in enhancing prediction results. In this regard, several hybrid intelligent methods are offered. In this book we test the proposed methods using several prediction problems, like predicting COVID-19 and the stock market. We can notice that when Type-3 fuzzy systems are implemented to model the behavior of systems, the results in prediction are enhanced, because the management of uncertainty is better. For this reason, we consider in this book the proposed methods using type-3 fuzzy systems, neural networks and fractal theory to improve the prediction behavior of the complex nonlinear systems. This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic techniques for solving complex prediction problems. This book can also be used as a reference for graduate courses like the following: soft computing, fuzzy logic, neural networks, bio-inspired algorithms, intelligent prediction, and similar ones. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book. 108 pp. Englisch.

Lingua: Inglese
Editore: Springer, 2024
Serie: Libro 345 di 472 - SpringerBriefs in Applied Sciences and Technology
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Lingua: Inglese
Editore: Springer, 2024
Serie: Libro 345 di 472 - SpringerBriefs in Applied Sciences and Technology
- Brossura
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Switzerland|Springer, 2024
Serie: Libro 345 di 472 - SpringerBriefs in Applied Sciences and Technology
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Da: moluna, Greven, Germaniamoluna
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book focuses on the field of type-3 fuzzy logic for applications in time series prediction. The main idea is that a higher type and order of fuzzy logic can help in solving various predi…ction problems and find better results. In addition, neural net.

Lingua: Inglese
Editore: Springer, Springer Nature Switzerland Mai 2024, 2024
Serie: Libro 345 di 472 - SpringerBriefs in Applied Sciences and Technology
- Brossura
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book focuses on the field of type-3 fuzzy logic for applications in time series prediction. The main idea is that a higher type and order of fuzzy logic can help in solving various prediction problems and find better results. In a…ddition, neural networks and fractal theory are employed in enhancing prediction results. In this regard, several hybrid intelligent methods are offered. In this book we test the proposed methods using several prediction problems, like predicting COVID-19 and the stock market. We can notice that when Type-3 fuzzy systems are implemented to model the behavior of systems, the results in prediction are enhanced, because the management of uncertainty is better. For this reason, we consider in this book the proposed methods using type-3 fuzzy systems, neural networks and fractal theory to improve the prediction behavior of the complex nonlinear systems. This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic techniques for solving complex prediction problems. This book can also be used as a reference for graduate courses like the following: soft computing, fuzzy logic, neural networks, bio-inspired algorithms, intelligent prediction, and similar ones. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 108 pp. Englisch.