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http://hdl.handle.net/20.500.12358/24615
TitleClustering Algorithms in Echo State Networks
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Abstract

In this work, we develop a new method of setting the input to reservoir and reservoir to reservoir weights in echo state machines. We use a clustering technique which we have previously developed as a pre-processing stage to set the reservoir parameters which at this stage are prototypes. We then use these prototypes as weights in the standard architecture while setting the reservoir to output weights in a standard manner. We show results on a variety of data sets in the literature which show that this method out-performs a standard random echo state machine.

Authors
Ashour, Wesam M.
Abu-Issa, Abdallatif S
Hellwich, Olaf
TypeJournal Article
Date2016
Subjects
echo state machines
reservoir
clustering
t i m e series data
Published inInternational Journal of Signal Processing, Image Processing and Pattern Recognition
SeriesVolume: 9, Number: 5
PublisherScience and Engineering Research Support Society
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  • Staff Publications- Faculty of Engineering [908]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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