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Building Waste Output Forecasting Model based on Gray Metabolism GM (1,1)
Yabo He,Wang Hongtao,Yang Lin,Qin Wei4 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.2
With the increase of construction investment and urbanization, building waste output in our country is huge. This paper first constructs a set based on the construction area and per unit area of garbage generated quantity of urban building waste estimation method, then using grey system theory prediction and analysis of the next four years of building waste output. By the introduction of metabolic thought, the grey metabolic GM (1,1) forecast model was constructed, overcoming the shortages of conventional GM (1, 1) model. Prediction results show that the model is higher than the conventional GM (1,1) model prediction accuracy, which is suitable for the prediction of the short term of building waste in our country and for the treatment and reuse of building waste to provide certain reference.