Implement of fuzzy logic system using table lookup scheme by Java language to predict time series data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F12%3A00309377" target="_blank" >RIV/68407700:21220/12:00309377 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CarpathianCC.2012.6228659" target="_blank" >http://dx.doi.org/10.1109/CarpathianCC.2012.6228659</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CarpathianCC.2012.6228659" target="_blank" >10.1109/CarpathianCC.2012.6228659</a>
Alternative languages
Result language
angličtina
Original language name
Implement of fuzzy logic system using table lookup scheme by Java language to predict time series data
Original language description
Forecasting the future time series values from the past values plays important role in daily life. There are some techniques support for time series analysis such as statistics, Neural Network (NN), Fuzzy Logic (FL) and fusion NN and FL. However, there is lack of easy, free and visual tools for users to analysis time series data. In this paper we try to use Java program language to implement of Fuzzy Logic system using table lookup scheme to predict time series data. The results of our experiments show that our tool can give a high accuracy of prediction results. Since program is written in Java language so it can run across hardware and software platform and easily embed into website for user run through Internet. 2012 IEEE.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 13th International Carpathian Control Conference
ISBN
9781457718687
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
307-312
Publisher name
Technical University of Košice
Place of publication
Košice
Event location
Podbánské
Event date
May 28, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—