Sales time series modeling using Box-Jenkins methodology and rbf neural networks
Result description
We examine the class of RBF neural network models for the approximation models of a sales time series provided by a firm and make comparisons their approximation accuracy with the models based on the Box-Jenkins methodology. The similarity between RBF networks and fuzzy models is noted. Time series approximation by applying RBF neural networks or fuzzy models and comparisons between two types of RBF networks and statistical models are discussed at length. Using the disposable data a very appropriate model is the soft RBF network. It is also interesting to note that the most computationally intensive models, i. e. models based on the Box-Jenkins methodology, is newer considered ?best?
Keywords
Time series modelingRBF neural networksFuzzy logic RBF network
The result's identifiers
Result code in IS VaVaI
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Sales time series modeling using Box-Jenkins methodology and rbf neural networks
Original language description
We examine the class of RBF neural network models for the approximation models of a sales time series provided by a firm and make comparisons their approximation accuracy with the models based on the Box-Jenkins methodology. The similarity between RBF networks and fuzzy models is noted. Time series approximation by applying RBF neural networks or fuzzy models and comparisons between two types of RBF networks and statistical models are discussed at length. Using the disposable data a very appropriate model is the soft RBF network. It is also interesting to note that the most computationally intensive models, i. e. models based on the Box-Jenkins methodology, is newer considered ?best?
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AH - Economics
OECD FORD branch
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Result continuities
Project
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Applied Natural Sciences 2009
ISBN
978-80-8105-127-2
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
University of SS. Cyril and Methodius in Trnava, Faculty of Natural Sciences
Place of publication
Trnava
Event location
Trnava
Event date
Jan 1, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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Basic information
Result type
D - Article in proceedings
CEP
AH - Economics
Year of implementation
2009