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The GM(1,1) Model and Verhulst Forecast Model in the Application of Construction Waste Output Prediction: Taking Shenyang as an Example
In view of the big statistics deviation and incomprehensive data of the construction waste output, this paper uses grey prediction theory to establish the grey Verhulst prediction model of construction waste output, to forecast construction waste output in Shenyang in the next five years. Comparing with the GM(1,1) prediction model, we find that the grey Verhulst model can satisfy the precision requirement of ‘best’ and can more reasonably reflect the construction waste production trends, so the model can be used to predict the production of construction waste.
The GM(1,1) Model and Verhulst Forecast Model in the Application of Construction Waste Output Prediction: Taking Shenyang as an Example
In view of the big statistics deviation and incomprehensive data of the construction waste output, this paper uses grey prediction theory to establish the grey Verhulst prediction model of construction waste output, to forecast construction waste output in Shenyang in the next five years. Comparing with the GM(1,1) prediction model, we find that the grey Verhulst model can satisfy the precision requirement of ‘best’ and can more reasonably reflect the construction waste production trends, so the model can be used to predict the production of construction waste.
The GM(1,1) Model and Verhulst Forecast Model in the Application of Construction Waste Output Prediction: Taking Shenyang as an Example
Wang, Qiufei (author) / Wang, Shengnan (author) / Shi, Dan (author)
International Conference on Construction and Real Estate Management 2016 ; 2016 ; Edmonton, Canada
ICCREM 2016 ; 415-421
2017-08-14
Conference paper
Electronic Resource
English
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