Longterm forecasting of solid waste generation by the artificial neural networks

@article{Abdoli2012LongtermFO,
  title={Longterm forecasting of solid waste generation by the artificial neural networks},
  author={M. Abdoli and Maliheh Falah Nezhad and R. Sede and S. Behboudian},
  journal={Environmental Progress},
  year={2012},
  volume={31},
  pages={628-636}
}
This study presents a new approach—preprocessing for reaching the stationary chain in time series—to unravel the interpolating problem of artificial neural networks (ANN) for long-term prediction of solid waste generation (SWG). To evaluate the accuracy of the prediction by ANN, comparison between the results of the multivariate regression model and ANN is performed. Monthly time series datasets, by the yrs 2000–2010, for the city of Mashhad, are used to simulate the generated solid waste… Expand
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