A STUDY OF OWNERSHIP FORECASTING BASED ON REGRESSION-COMBINATION OF CIVILIAN VEHICLES IN XI’AN
Journal Title: Topics in Intelligent Computing and Industry Design (ICID) - Year 2017, Vol 1, Issue 2
Abstract
To analysis the forecasting method of car ownership, this paper describes the recent research results of domestic scholars, then to forecast the ownership of civilian vehicles in Xi’an, GM (1, 1) model, exponential smoothing and linear regression method were established and analysis the pros and cons of the prediction method (the average relative error). The results show that: the analysis of ownership yearly changes if only rely on time-series data is more sensitive to the data itself and forecasting methods, different results of different forecasting methods; combination forecasting method can compensate for the lack of a single method, the quality of the text input variable combinations of the model will affect accuracy
Authors and Affiliations
Sun Jian, Shan Yan, Xu Chao-Ran, Song Jin, Chen Nuo
Keywords
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- EP ID EP409549
- DOI 10.26480/wsmce.01.2017.65.67
- Views 63
- Downloads 0
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