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ISBN10: 3540673695, ISBN13: 9783540673699, [publisher: Springer Berlin / Heidelberg] Hardcover Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. [Dunfermline, United Kingdom] [Publication Year: 2000]
Springer Berlin / Heidelberg. Used - Good. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Springer Berlin / Heidelberg ISBN 3540673695 9783540673699 [GB]
ISBN10: 3540673695, ISBN13: 9783540673699, [publisher: Springer] Hardcover New. Fast Shipping and good customer service [Fayetteville, TX, U.S.A.] [Publication Year: 2000]
ISBN10: 3540673695, ISBN13: 9783540673699, [publisher: Springer Berlin Heidelberg] Hardcover 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 alm ...
Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Nonlinear System Identification : From Classical Approaches to Neural Networks and Fuzzy Models. ISBN 3540673695 9783540673699 [GB]
ISBN10: 3540673695, ISBN13: 9783540673699, [publisher: Springer Berlin Heidelberg] Hardcover 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 alm ...
ISBN10: 3540673695, ISBN13: 9783540673699, [publisher: Springer] Hardcover Like New [Redhill, SURRE, United Kingdom] [Publication Year: 2000]
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