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
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;
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
DOI :
10.1109/SICE.2008.4654738