RBF Neural Networks for Time Series Modelling and Forecasting
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F15%3A86096037" target="_blank" >RIV/61989100:27510/15:86096037 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
RBF Neural Networks for Time Series Modelling and Forecasting
Original language description
In this paper the classic and soft radial basis function (RBF) neural networks are modified by Gaussian cloud concept. We concern with learning aspects of granular RBF networks. We also compare the results from the granular network with that from classicand soft RBF networks. As an illustration, we consider the case study related to task of time series forecasting.
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/EE2.3.20.0296" target="_blank" >EE2.3.20.0296: Research team for modelling of economic and financial processes at VSB-TU Ostrava</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Selected papers of the 18th International Conference on Information Technology for Practice 2015 : October 8-9, 2015, Ostrava, Czech Republic
ISBN
978-80-248-3820-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
55-62
Publisher name
VŠB - Technical University of Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Oct 8, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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