Longterm forecasting of solid waste generation by the artificial neural networks

Environmental Progress and Sustainable Energy

Volumn 31, Issue 4, 2012, Pages 628-636

  Ali Abdoli, Mohammad ^a   Falah Nezhad, Maliheh ^a   Salehi Sede, Reza ^a   Behboudian, Sadegh ^a  

^a Faculty of Environment   (Iran)

Author keywords

artificial neural networks; Iran; Mashhad; solid waste generation; time series data

Indexed keywords

DATA SETS; ENVIRONMENTAL FACTORS; ESTIMATED MODEL; EXPLANATORY VARIABLES; INPUT VARIABLES; IRAN; LONG-TERM FORECASTING; LONG-TERM PREDICTION; MASHHAD; MULTI-LAYER PERCEPTION; MULTIVARIATE REGRESSION MODELS; PERFORMANCE INDICES; PRACTICAL METHOD; SOLID WASTE GENERATION; TIME-SERIES DATA;

NEURAL NETWORKS; REGRESSION ANALYSIS; SOLID WASTES; TIME SERIES;

FORECASTING;

EID: 84867743245     PISSN: 19447442     EISSN: 19447450     Source Type: Journal    
DOI: 10.1002/ep.10591     Document Type: Article

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