Analysis of the dynamics of the echo state network model using recurrence plot
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244284" target="_blank" >RIV/61989100:27240/19:10244284 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-01818-4_35" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-01818-4_35</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-01818-4_35" target="_blank" >10.1007/978-3-030-01818-4_35</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of the dynamics of the echo state network model using recurrence plot
Original language description
At the beginning of the 2000s, a specific type of Recurrent Neural Networks (RNNs) was developed with the name Echo State Network (ESN). The model has become popular during the last 15 years in the area of temporal learning. The model has a RNN (named reservoir) that projects an input sequence in a feature map. The reservoir has two main parameters that impact the accuracy of the model: the reservoir size (number of neurons in the RNN) and the spectral radius of the hidden-hidden recurrent weight matrix. In this article, we analyze the impact of these parameters using the Recurrence Plot technique, which is a useful tool for visualizing chaotic systems. Experiments carried out with three well-known dynamical systems show the relevance of the spectral radius in the reservoir projections. (C) Springer Nature Switzerland AG 2019.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/GJ16-25694Y" target="_blank" >GJ16-25694Y: Multi-paradigm data mining algorithms based on information retrieval, fuzzy, and bio-inspired methods</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 874
ISBN
978-3-030-01817-7
ISSN
2194-5357
e-ISSN
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Number of pages
9
Pages from-to
353-361
Publisher name
Springer
Place of publication
Basilej
Event location
Soči
Event date
Sep 17, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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