DocumentCode
422692
Title
ANFIS application to competition on artificial time series (CATS)
Author
Potter, Cameron ; Negnevitsky, Michael
Author_Institution
Sch. of Eng., Tasmania Univ., Tas., Australia
Volume
1
fYear
2004
fDate
25-29 July 2004
Firstpage
469
Abstract
This work presents an application of an adaptive neural fuzzy inference system (ANFIS) to forecasting an artificial time series. Forecasting is an excellent use for intelligent technologies, but too often forecasts are difficult to compare. This paper was written as attempt to set a benchmark system for future comparison. Although, the system presented in this paper did not respond well to the training data, this paper suggests possible solutions.
Keywords
adaptive systems; fuzzy neural nets; technological forecasting; time series; adaptive neural fuzzy inference system; artificial time series; intelligent technology; Artificial intelligence; Artificial neural networks; Australia; Business; Cats; Fuzzy systems; Intelligent systems; Power systems; Technology forecasting; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
ISSN
1098-7584
Print_ISBN
0-7803-8353-2
Type
conf
DOI
10.1109/FUZZY.2004.1375775
Filename
1375775
Link To Document