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Hardcover. Condition: New. Hardcover. Publisher overstock, may contain remainder mark on edge.
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Condition: As New. Unread book in perfect condition.
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Nonlinear System Identificatio
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Like New. Item is in like new condition.
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Grundlagen der Elektrotechnik zum Selbststudium: Band 2: Elektrische Felder
Language: German
Published by Vde Verlag GmbH 2022-10-05, 2022
ISBN 10: 3800757990 ISBN 13: 9783800757992
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Grundlagen der Elektrotechnik zum Selbststudium: Band 3: Magnetische Felder
Language: German
Published by Vde Verlag GmbH 2023-04-12, 2023
ISBN 10: 3800758024 ISBN 13: 9783800758029
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Condition: New.
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Grundlagen der Elektrotechnik zum Selbststudium
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Grundlagen der Elektrotechnik zum Selbststudium: Band 4: Wechselstromkreise
Language: German
Published by Vde Verlag GmbH 2023-10-04, 2023
ISBN 10: 3800758059 ISBN 13: 9783800758050
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Grundlagen der Elektrotechnik zum Selbststudium: Band 1: Gleichstromkreise
Language: German
Published by Vde Verlag GmbH 2022-01-01, 2022
ISBN 10: 3800756404 ISBN 13: 9783800756407
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Grundlagen der Elektrotechnik zum Selbststudium
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Nonlinear System Identificatio
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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US$ 48.51
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Add to basketHardcover. Condition: Brand New. German language. 8.50x6.06x0.87 inches. In Stock.
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Nonlinear System Identification (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030474380 ISBN 13: 9783030474386
Hardcover. Condition: new. Hardcover. This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. It equips them to apply the models and methods discussed to real problems with confidence, while also making them aware of potential difficulties that may arise in practice. Moreover, the book is self-contained, requiring only a basic grasp of matrix algebra, signals and systems, and statistics. Accordingly, it can also serve as an introduction to linear system identification, and provides a practical overview of the major optimization methods used in engineering. The focus is on gaining an intuitive understanding of the subject and the practical application of the techniques discussed. The book is not written in a theorem/proof style; instead, the mathematics is kept to a minimum, and the ideas covered are illustrated with numerous figures, examples, and real-world applications. In the past, nonlinear system identification was a field characterized by a variety of ad-hoc approaches, each applicable only to a very limited class of systems. With the advent of neural networks, fuzzy models, Gaussian process models, and modern structure optimization techniques, a much broader class of systems can now be handled. Although one major aspect of nonlinear systems is that virtually every one is unique, tools have since been developed that allow each approach to be applied to a wide variety of systems. This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. In the past, nonlinear system identification was a field characterized by a variety of ad-hoc approaches, each applicable only to a very limited class of systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketHardcover. Condition: Brand New. German language. 8.46x6.10x0.83 inches. In Stock.
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Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
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Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Add to basketHardcover. Condition: Brand New. 341 pages. German language. 8.46x5.98x0.98 inches. In Stock.
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Condition: New. pp. 804.
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Taschenbuch. Condition: Neu. Nonlinear System Identification | From Classical Approaches to Neural Networks and Fuzzy Models | Oliver Nelles | Taschenbuch | xvii | Englisch | 2010 | Springer | EAN 9783642086748 | 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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Nonlinear System Identification : From Classical Approaches to Neural Networks and Fuzzy Models
Language: English
Published by Springer Berlin Heidelberg, Springer Vieweg, 2010
ISBN 10: 3642086748 ISBN 13: 9783642086748
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The goal of this book is to provide engineers and scientIsts in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. The reader will be able to apply the discussed models and methods to real problems with the necessary confidence and the awareness of potential difficulties that may arise in practice. This book is self-contained in the sense that it requires merely basic knowledge of matrix algebra, signals and systems, and statistics. Therefore, it also serves as an introduction to linear system identification and gives a practical overview on the major optimization methods used in engineering. The emphasis of this book is on an intuitive understanding of the subject and the practical application of the discussed techniques. It is not written in a theorem/proof style; rather the mathematics is kept to a minimum and the pursued ideas are illustrated by numerous figures, examples, and real-world applications. Fifteen years ago, nonlinear system identification was a field of several ad-hoc approaches, each applicable only to a very restricted class of systems. With the advent of neural networks, fuzzy models, and modern structure opti mization techniques a much wider class of systems can be handled. Although one major characteristic of nonlinear systems is that almost every nonlinear system is unique, tools have been developed that allow the use of the same ap proach for a broad variety of systems.
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US$ 200.76
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Add to basketHardcover. Condition: Brand New. 2nd edition. 1253 pages. 9.25x6.10x1.97 inches. In Stock.
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US$ 206.57
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Add to basketPaperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Condition: New. pp. 808.
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Nonlinear System Identification : From Classical Approaches to Neural Networks and Fuzzy Models
Language: English
Published by Springer, J.B. Metzler, 2000
ISBN 10: 3540673695 ISBN 13: 9783540673699
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The goal of this book is to provide engineers and scientIsts in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. The reader will be able to apply the discussed models and methods to real problems with the necessary confidence and the awareness of potential difficulties that may arise in practice. This book is self-contained in the sense that it requires merely basic knowledge of matrix algebra, signals and systems, and statistics. Therefore, it also serves as an introduction to linear system identification and gives a practical overview on the major optimization methods used in engineering. The emphasis of this book is on an intuitive understanding of the subject and the practical application of the discussed techniques. It is not written in a theorem/proof style; rather the mathematics is kept to a minimum and the pursued ideas are illustrated by numerous figures, examples, and real-world applications. Fifteen years ago, nonlinear system identification was a field of several ad-hoc approaches, each applicable only to a very restricted class of systems. With the advent of neural networks, fuzzy models, and modern structure opti mization techniques a much wider class of systems can be handled. Although one major characteristic of nonlinear systems is that almost every nonlinear system is unique, tools have been developed that allow the use of the same ap proach for a broad variety of systems.
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US$ 285.59
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Add to basketpaperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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US$ 54.18
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Add to basketHardcover. Condition: Brand New. German language. 8.43x6.10x0.87 inches. In Stock.
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Hardcover. Condition: Sehr gut. Um ein Selbststudium zu ermöglichen, sind ausführliche Erklärungen, Wiederholungen, Beispiele und Übungsaufgaben notwendig. Der umfangreiche Stoff wurde daher auf vier Bände aufgeteilt und diese sind so aufgebaut, dass eine lückenlose Erarbeitung des Stoffs einer zweisemestrigen Vorlesung mit je sechs Semesterwochenstunden möglich ist. An einigen Stellen wird über die Grundlagen hinaus gegangen und ein Einstieg in die Theoretische Elektrotechnik gebildet. Hier kann der Leser je nach Lust und Laune vertiefen oder überspringen, ohne im folgenden Stoff auf Verständnislücken zu stoßen. Band 2 beginnt mit den homogenen elektrostatischen Feldern und behandelt die Kapazitäten. Dann werden die Wechselfelder mit den Zeitfunktionen, den Zeigerbildern sowie der komplexen Rechnung eingeführt. Auch die Ausgleichsvorgänge beim Schalten von kapazitiven Kreisen sind kurz angerissen. Die homogenen Felder werden mit der Überlagerung von Strömungsfeld und elektrischem Feld behandelt. Abgeschlossen wird das Buch mit den Fourierreihen.
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hardcover. Condition: Sehr gut. 329 Seiten; 9783800758029.2 Gewicht in Gramm: 1.
