Forecasting generation waste using artificial neural networks

Municipal solid waste (MSW) is the natural result of human activities. MSW generation modeling is major significant in municipal solid waste management system planning. Predicting the amount of generated waste is difficult task because it is affect by various parameters. In this research, Artificial Neural Network (ANN) was trained and tested to weekly waste generation (WWG) model in Sari’s city of Iran. Input data is consisting WWG observation and the number of trucks, personnel and fuel cost were obtained from Sari Recycling and Material Conversion Organization. The gathering data related to monitoring 2006 to2008.

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