Title :
Analysis and prediction of time series using fuzzy transform
Author :
Irina Perfilieva;Vilem Novak;Viktor Pavliska;Antonin Dvorak;Martin Stepnicka
Author_Institution :
University of Ostrava, Institute for Research and Applications of Fuzzy Modelling, 30. dubna 22, 70103 Ostrava, Czech republic
Abstract :
A new methodology for forecasting of time series is proposed. It is based on combination of two techniques: fuzzy transform and perception-based logical deduction on the basis of learned linguistic description.
Keywords :
"Time series analysis","Transforms","Forecasting","Takagi-Sugeno model","Vectors","Artificial neural networks","Computational modeling"
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
2161-4407
DOI :
10.1109/IJCNN.2008.4634355
