Predictive Modular Neural Networks : Applications to Time Series

Language: English

Published by Springer Us Sep 1998, 1998

0792382900 / 9780792382904

Series: Book 95 of 260 - The Springer International Series in Engineering and Computer Science

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - The subject of this book is predictive modular neural networks and their ap plication to time series problems: classification, prediction and identification. The intended audience is researchers and graduate students in the fields of neural networks, computer science, statistical pattern recognition, statistics, control theory and econometrics. Biologists, neurophysiologists and medical engineers may also find this book interesting. In the last decade the neural networks community has shown intense interest in both modular methods and time series problems. Similar interest has been expressed for many years in other fields as well, most notably in statistics, control theory, econometrics etc. There is a considerable overlap (not always recognized) of ideas and methods between these fields. Modular neural networks come by many other names, for instance multiple models, local models and mixtures of experts. The basic idea is to independently develop several 'subnetworks' (modules), which may perform the same or re lated tasks, and then use an 'appropriate' method for combining the outputs of the subnetworks. Some of the expected advantages of this approach (when compared with the use of 'lumped' or 'monolithic' networks) are: superior performance, reduced development time and greater flexibility. For instance, if a module is removed from the network and replaced by a new module (which may perform the same task more efficiently), it should not be necessary to retrain the aggregate network. …

Seller Inventory # 9780792382904

Title
Predictive Modular Neural Networks : Applications to Time Series
Author
Athanasios Kehagias
Publisher
Springer Us Sep 1998
Publication year
1998
Condition
Neu
Binding
Buch
Language
English
ISBN 10
0792382900
ISBN 13
9780792382904
Item weight
664 grams
Dimensions
241x160x23 mm
Series
Book 95 of 260: The Springer International Series in Engineering and Computer Science

AHA-BUCH GmbH

Einbeck, Germany

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