Title :
Comparison and Analysis Between Holt Exponential Smoothing and Brown Exponential Smoothing Used for Freight Turnover Forecasts
Author_Institution :
Wuhan Univ. of Technol., Wuhan, China
Abstract :
Nowadays, most of the of transportation demand forecast are using Brown exponential smoothing which is a kind of the time series prediction methods. But in practical situation, Brown exponential smoothing is greatly influenced by data, when the data is inappropriate value. The large deviation and poor accuracy of the predicted value will appeared. Through the research of Holt exponential smoothing forecast model, according to the case analysis, this article makes a compare with Brown exponential smoothing and analyzes the precision of the predicted value, wishing for an optimal demand forecasting method.
Keywords :
demand forecasting; freight handling; time series; Brown exponential smoothing; Holt exponential smoothing; case analysis; demand forecasting method; freight turnover forecast; time series prediction method; transportation demand forecast; Accuracy; Indexes; Market research; Predictive models; Smoothing methods; Time series analysis; Transportation; Brown index smooth model; Freight turnover forecasts; Holt index smooth model;
Conference_Titel :
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-4893-5
DOI :
10.1109/ISDEA.2012.112