Comparative Modelling and Artificial Neural Network Inspired Prediction of Waste Generation Rates of Hospitality Industry: The Case of North Cyprus

Comparative Modelling and Artificial Neural Network Inspired Prediction of Waste Generation Rates of Hospitality Industry: The Case of North Cyprus

This study was undertaken to forecast the waste generation rates of the accommodation sector in North Cyprus. Three predictor models, multiple linear regression (MLR), artificial neural networks (ANNs) and central composite design (CCD), were applied to predict the waste generation rate during the l...

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Bibliographic Details
Main Authors: Soolmaz L. Azarmi, Akeem Adeyemi Oladipo, Roozbeh Vaziri, Habib Alipour
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sustainability
Subjects:
urban waste
hospitality sector
waste generation rates
artificial neural network prediction
sustainable waste management
Online Access:http://www.mdpi.com/2071-1050/10/9/2965

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