DocumentCode
3345990
Title
xftsp: A tool for time series prediction by means of fuzzy inference systems
Author
Montesino, Federico ; Lendasse, Amaury ; Barriga, Ángel
Author_Institution
Microelectron. Inst. of Seville, Sci. Res. Council, Seville
Volume
1
fYear
2008
fDate
6-8 Sept. 2008
Firstpage
42402
Lastpage
42407
Abstract
A new software tool for time series prediction by means of fuzzy inference systems is reported. This tool, named xftsp, implements a novel methodology for time series prediction based on methods for automatic fuzzy systems identification and supervised learning combined with statistical methods for nonparametric residual variance estimation. xftsp is designed as a tool integrated in the Xfuzzy development environment for fuzzy systems. Experiments carried out on a number of time series benchmarks show the advantages of xftsp in terms of both accuracy and computational requirements as compared against Least-Squared Support Vector Machines, an established technique in the field of time series prediction.
Keywords
fuzzy systems; inference mechanisms; learning (artificial intelligence); software tools; statistical analysis; support vector machines; time series; automatic fuzzy systems; fuzzy inference systems; least-squared support vector machines; nonparametric residual variance estimation; software tool; statistical methods; supervised learning; time series prediction; Evolutionary computation; Fuzzy systems; Intelligent systems; Neural networks; Predictive models; Software tools; Statistical analysis; Supervised learning; Support vector machines; Testing; Fuzzy inference; Least-squared support vector machines; Nonparametric regression; Residual variance estimation; Supervised learning; Time series prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location
Varna
Print_ISBN
978-1-4244-1739-1
Electronic_ISBN
978-1-4244-1740-7
Type
conf
DOI
10.1109/IS.2008.4670398
Filename
4670398
Link To Document