Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability by Mandic, Danilo P.

Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability (Hardcover) (ISBN-13: 9780471495178)

Vendor: Danilo P. Mandic
Product type: Books
Format: Hardcover
$274.95
$274.95
$274.95
Subtotal: $274.95
Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability by Mandic, Danilo P.

Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability

$274.95
Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability by Mandic, Danilo P.

Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability

$274.95
Format: Hardcover
Description
Description
x
Durch die Anwendung rückbezüglicher neuronaler Netze lä t sich die Leistungsfähigkeit konventioneller Technologien der digitalen Datenverarbeitung signifikant erhöhen. Von besonderer Bedeutung ist dies für komplexe Aufgaben, wie z.B. die mobile Kommunikation, die Robotik und die Medizintechnik. Das Buch fa t Originalarbeiten zur Stabilität neuronaler Netze zusammen und verbindet streng mathematische Analysen mit anschaulichen Anwendungen und experimentellen Belegen.

Author: Danilo P. Mandic, Jonathon A. Chambers
ISBN-10: 0471495174
ISBN-13: 9780471495178
Publisher: Wiley
Language: English
Published: 09/05/2001
Pages: 304
Format: Hardcover
Weight: 1.24lbs
Size: 9.77h x 6.06w x 0.87d
By Danilo P. Mandic
By Danilo P. Mandic
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Danilo Mandic from the Imperial College London, London, UK was named Fellow of the Institute of Electrical and Electronics Engineers in 2013 for contributions to multivariate and nonlinear learning systems.

Jonathon A. Chambers is the author of Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability, published by Wiley.

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