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Kalman Filtering and Neural Networks (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
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Kalman Filtering and Neural Networks (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) - primeira edição

2001, ISBN: 9780471369981

Edição encadernada

Wiley-Interscience, Gebundene Ausgabe, Auflage: 1. 304 Seiten, Publiziert: 2001-10-12T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: YES609660, 1.2 kg, Netzwerke, Sicherheit, Computer & … mais…

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Kalman Filtering - Haykin
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Haykin:

Kalman Filtering - encadernada, livro de bolso

2001, ISBN: 9780471369981

Gebunden, 304 Seiten, 240mm x 161mm x 21mm, Sprache(n): eng Die Kalman-Filterung ist ein wichtiges Spezialgebiet der Steuerungstechnik und Signalverarbeitung und die höchstentwickelte Met… mais…

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Kalman Filtering and Neural Networks (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
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Kalman Filtering and Neural Networks (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) - primeira edição

2001

ISBN: 9780471369981

Edição encadernada

Wiley-Interscience, Gebundene Ausgabe, Auflage: 1. 304 Seiten, Publiziert: 2001-10-12T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: YES609660, 0.54 kg, Netzwerke, Sicherheit, Computer &… mais…

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Kalman Filtering and Neural Networks (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
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Kalman Filtering and Neural Networks (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) - primeira edição

2001, ISBN: 9780471369981

Edição encadernada

Wiley-Interscience, Gebundene Ausgabe, Auflage: 1. 304 Seiten, Publiziert: 2001-10-12T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: YES609660, 0.54 kg, Netzwerke, Sicherheit, Computer &… mais…

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Kalman Filtering and Neural Networks - Simon Haykin
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Simon Haykin:
Kalman Filtering and Neural Networks - encadernada, livro de bolso

2001, ISBN: 9780471369981

Buch, Hardcover, [PU: Wiley-Interscience], Wiley-Interscience, 2001

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Kalman Filtering and Neural Networks (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Die Kalman-Filterung ist ein wichtiges Spezialgebiet der Steuerungstechnik und Signalverarbeitung und die höchstentwickelte Methode für das Design neuronaler Netze. Der unkonventionelle, nichtlineare Ansatz trägt der Tatsache Rechnung, dass in der Praxis meist nichtlineare Probleme von Bedeutung sind. Besprochen werden wichtige Anwendungen, zum Beispiel aus der Steuerungstechnik und der Finanzmathematik.

Dados detalhados do livro - Kalman Filtering and Neural Networks (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)


EAN (ISBN-13): 9780471369981
ISBN (ISBN-10): 0471369985
Livro de capa dura
Ano de publicação: 2001
Editor/Editora: Haykin, Simon, Wiley-Interscience
304 Páginas
Peso: 0,544 kg
Língua: eng/Englisch

Livro na base de dados desde 2007-05-28T23:06:57-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-11-16T13:49:56-03:00 (Sao Paulo)
Número ISBN/EAN: 9780471369981

Número ISBN - Ortografia alternativa:
0-471-36998-5, 978-0-471-36998-1
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: simon haykin, hayk
Título do livro: adaptive control, systems control, neural networks control, kalman filtering neural networks, neural network, signal, neural communication and control, learning processing, communications networks, kalman filter


Dados da editora

Autor: Simon Haykin
Título: Adaptive and Learning Systems for Signal Processing, Communications, and Control Series; Kalman Filtering and Neural Networks
Editora: Wiley-Interscience; John Wiley & Sons
286 Páginas
Ano de publicação: 2001-10-12
Peso: 0,572 kg
Língua: Inglês
175,00 € (DE)
165mm x 240mm x 22mm

BB; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik, Nachrichtentechnik; Electrical & Electronics Engineering; Elektrotechnik u. Elektronik; Kalman-Filter; Neuronales Netz; Signal Processing; Signalverarbeitung; Signalverarbeitung; Digitale Signalverarbeitung (DSP)

State-of-the-art coverage of Kalman filter methods for the design of neural networks This self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied to the training and use of neural networks. Although the traditional approach to the subject is almost always linear, this book recognizes and deals with the fact that real problems are most often nonlinear. The first chapter offers an introductory treatment of Kalman filters with an emphasis on basic Kalman filter theory, Rauch-Tung-Striebel smoother, and the extended Kalman filter. Other chapters cover: * An algorithm for the training of feedforward and recurrent multilayered perceptrons, based on the decoupled extended Kalman filter (DEKF) * Applications of the DEKF learning algorithm to the study of image sequences and the dynamic reconstruction of chaotic processes * The dual estimation problem * Stochastic nonlinear dynamics: the expectation-maximization (EM) algorithm and the extended Kalman smoothing (EKS) algorithm * The unscented Kalman filter Each chapter, with the exception of the introduction, includes illustrative applications of the learning algorithms described here, some of which involve the use of simulated and real-life data. Kalman Filtering and Neural Networks serves as an expert resource for researchers in neural networks and nonlinear dynamical systems.

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