Solar irradiance estimation using the Echo State Network and the Flexible Neural Tree
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86096561" target="_blank" >RIV/61989100:27240/14:86096561 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86096561
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-07776-5_49" target="_blank" >http://dx.doi.org/10.1007/978-3-319-07776-5_49</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-07776-5_49" target="_blank" >10.1007/978-3-319-07776-5_49</a>
Alternative languages
Result language
angličtina
Original language name
Solar irradiance estimation using the Echo State Network and the Flexible Neural Tree
Original language description
Two popular models for solving temporal learning problems are the Flexible Neural Tree (FNT) and the Echo State Network (ESN). Both models belong to the the Neural Network area. The ESN is based in the projection of a recurrent neural network to model the temporal dependencies of the data. The FNT uses heuristic techniques for finding a tree topology and its parameters. There are several examples in the Machine Learning literature that shown the success for solving learning tasks of both techniques. Inthis paper, we have studied the performance of these methods in a specific data set about renewable energy. (C) Springer International Publishing Switzerland 2014.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
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 297
ISBN
978-3-319-07775-8
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
475-484
Publisher name
Springer
Place of publication
Basel
Event location
Shenzhen
Event date
Jun 13, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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