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

by Mandic, Jonathon Chambers, Danilo Mandic, et al.

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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...

Format:Hardcover

Language:English

ISBN:0471495174

ISBN13:9780471495178

Release Date:August 2001

Publisher:Wiley

Length:304 Pages

Weight:1.35 lbs.

Dimensions:0.9" x 6.1" x 9.8"

Related Subjects

Algorithms Artificial Intelligence Certification Computer Mathematics Computer Science Computers Computers & Technology Human Vision & Language Systems Machine Learning Networking

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

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