Prediction of municipal solid waste generation using nonlinear autoregressive network
Most of the developing countries have solid waste management problems. Solid waste
strategic planning requires accurate prediction of the quality and quantity of the generated …
strategic planning requires accurate prediction of the quality and quantity of the generated …
Forecasting of municipal solid waste generation using non-linear autoregressive (NAR) neural models
Municipal solid waste (MSW) generation is a multi-variable dependent process and hence
its quantification is relatively not easy. The estimations for monthly MSW generation are …
its quantification is relatively not easy. The estimations for monthly MSW generation are …
Evaluation of PCA and Gamma test techniques on ANN operation for weekly solid waste prediction
Artificial neural networks (ANNs) are suitable for modeling solid waste generation. In the
present study, four training functions, including resilient backpropagation (RP), scale …
present study, four training functions, including resilient backpropagation (RP), scale …
Prediction of municipal solid waste generation by use of artificial neural network: A case study of Mashhad
GZM JALALI, RE NOURI - 2008 - sid.ir
Accurate prediction of municipal solid waste's quality and quantity is crucial for designing
and programming municipal solid waste management system. But predicting the amount of …
and programming municipal solid waste management system. But predicting the amount of …
Prediction of municipal solid waste generation for optimum planning and management with artificial neural network—case study: Faridabad City in Haryana State …
Accurate prediction of municipal solid waste generation has an important role in future
planning and waste management system. The characteristics of the generated solid waste …
planning and waste management system. The characteristics of the generated solid waste …
Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components
Solid Waste (SW) is one of the critical challenges of urban life. These SWs are considered
environmental pollutants that are a threat to ecology and human health. Predicting SW …
environmental pollutants that are a threat to ecology and human health. Predicting SW …
Forecasting municipal solid waste quantity using artificial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa
Detailed prediction of the amounts of municipal solid waste (MSW) is very crucial for
planning and management of MSW in a sustainable manner. Forecasting of MSW quantity is …
planning and management of MSW in a sustainable manner. Forecasting of MSW quantity is …
Development of an appropriate model for forecasting municipal solid waste generation in Bangkok
N Sun, S Chungpaibulpatana - Energy Procedia, 2017 - Elsevier
Municipal solid waste (MSW) is a result of human activities. Accurate forecasting of MSW
generation is crucial for sustainable management systems and planning. MSW is …
generation is crucial for sustainable management systems and planning. MSW is …
Combining artificial neural network-genetic algorithm and response surface method to predict waste generation and optimize cost of solid waste collection and …
E Shamshiry, M Mokhtar, AM Abdulai… - Malaysian Journal of …, 2014 - fiqh.um.edu.my
Solid waste management is an important component in the environmental management
system. Due to high fluctuations of the amount of the produced waste in langkawi because of …
system. Due to high fluctuations of the amount of the produced waste in langkawi because of …
Longterm forecasting of solid waste generation by the artificial neural networks
M Ali Abdoli, M Falah Nezhad… - Environmental …, 2012 - Wiley Online Library
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 …
time series—to unravel the interpolating problem of artificial neural networks (ANN) for long …