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Author(s): |
Yinglin Wang, Department of Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China, 350001
Jiyu Lai, Department of Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China, 350001 |
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Abstract: |
In recent years, construction demand has been growing fairly rapidly in both Hong Kong and Mainland China. This paper is aimed at forecasting the demand for construction in the two areas by using Artificial Neural Networks (ANNs) and Multiple Regression (MR). After that, comparisons between the two forecasting techniques are taken. The coefficient of determination R2 and t-test are used for the comparison between ANN and MR as well as Hong Kong and MainlandChina. For Hong Kong case, ANNs method generates a more accurate result than regression model, but for MainlandChina, both ANNs and MR perform well.
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