DocumentCode
3152115
Title
Naphtha’s price forecasting using Neuro-fuzzy system
Author
Visetsripong, Porntip ; Sooraksa, Pitikhate ; Luenam, Pramote ; Chaimongkol, Watchareeporn
Author_Institution
Joint Master of Sci. Program in Inf. Technol. Manage., Nat. Inst. of Dev. Adm., Bangkok
fYear
2008
fDate
20-22 Aug. 2008
Firstpage
659
Lastpage
663
Abstract
Naphthapsilas price forecasting using Neuro-fuzzy system is a forecasting technique that applied information technology with statistics. 1950 daily prices were collected as a time-series data with trend component. The research found that Neuro-Fuzzy system is more accurate and more reliable than a statistical method; it also works well with continuous data and performs better with more training data. Neuro-Fuzzy system might be used with different data type, but, it might come across with other factors, e.g. seasonal or irregular event. The research also illustrates the multidisciplinary nature in todaypsilas world of works in the era of merging among many disciplines.
Keywords
economic forecasting; fuzzy neural nets; pricing; statistical analysis; neuro-fuzzy system; price forecasting; statistical method; time-series data; Biological neural networks; Computer networks; Electronic mail; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Information technology; Smoothing methods; Statistics; Technology forecasting; ANFIS; Neuro-fuzzy system; statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference, 2008
Conference_Location
Tokyo
Print_ISBN
978-4-907764-30-2
Electronic_ISBN
978-4-907764-29-6
Type
conf
DOI
10.1109/SICE.2008.4654738
Filename
4654738
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