Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes
Reliable prediction of municipal solid waste (MSW) generation rates is a significant element
of planning and implementation of sustainable solid waste management strategies. In this …
of planning and implementation of sustainable solid waste management strategies. In this …
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 …
Landfill area estimation based on solid waste collection prediction using ANN model and final waste disposal options
MM Hoque, MTU Rahman - Journal of Cleaner Production, 2020 - Elsevier
Public health of inhabitants has been affected by the increase of unsound waste
management in the cities of developing countries. Solid waste management has received …
management in the cities of developing countries. Solid waste management has received …
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 …
Comparative performance analysis of support vector regression and artificial neural network for prediction of municipal solid waste generation
MS Jassim, G Coskuner… - Waste Management & …, 2022 - journals.sagepub.com
The evolution of machine learning (ML) algorithms provides researchers and engineers with
state-of-the-art tools to dynamically model complex relationships. The design and operation …
state-of-the-art tools to dynamically model complex relationships. The design and operation …
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 …
Predictive analysis of municipal solid waste generation using an optimized neural network model
Developing successful municipal waste management planning strategies is crucial for
implementing sustainable development. The research proposed the application of an …
implementing sustainable development. The research proposed the application of an …
Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: A case …
S Azadi, A Karimi-Jashni - Waste management, 2016 - Elsevier
Predicting the mass of solid waste generation plays an important role in integrated solid
waste management plans. In this study, the performance of two predictive models, Artificial …
waste management plans. In this study, the performance of two predictive models, Artificial …
Prediction of the production of separated municipal solid waste by artificial neural networks in Croatia and the European Union
Given that global amounts of waste are growing rapidly, it is extremely important to
determine what amount of waste will be generated in the near future. Accurate waste …
determine what amount of waste will be generated in the near future. Accurate waste …
Forecasting municipal solid waste generation using artificial intelligence modelling approaches
M Abbasi, A El Hanandeh - Waste management, 2016 - Elsevier
Municipal solid waste (MSW) management is a major concern to local governments to
protect human health, the environment and to preserve natural resources. The design and …
protect human health, the environment and to preserve natural resources. The design and …