An experimental analysis of the Echo State Network initialization using the Particle Swarm Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092410" target="_blank" >RIV/61989100:27240/14:86092410 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86092410
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6921880" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6921880</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NaBIC.2014.6921880" target="_blank" >10.1109/NaBIC.2014.6921880</a>
Alternative languages
Result language
angličtina
Original language name
An experimental analysis of the Echo State Network initialization using the Particle Swarm Optimization
Original language description
This article introduces a robust hybrid method for solving supervised learning tasks, which uses the Echo State Network (ESN) model and the Particle Swarm Optimization (PSO) algorithm. An ESN is a Recurrent Neural Network with the hidden-hidden weights fixed in the learning process. The recurrent part of the network stores the input information in internal states of the network. Another structure forms a free memory method used as supervised learning tool. The setting procedure for initializing the recurrent structure of the ESN model can impact on the model performance. On the other hand, the PSO has been shown to be a successful technique for finding optimal points in complex spaces. Here, we present an approach to use the PSO for finding some initial hidden-hidden weights of the ESN model. We present empirical results that compare the canonical ESN model with this hybrid method on a wide range of benchmark problems.
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
Result was created during the realization of more than one project. More information in the Projects tab.
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
NaBIC 2014 ; CASoN 2014 : July 30-31, Porto, Portugal
ISBN
978-1-4799-5937-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
214-219
Publisher name
IEEE
Place of publication
New York
Event location
Porto
Event date
Jul 30, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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