Prediction of municipal solid waste generation using a machine learning multi-city model

Ever-increasing solid waste production has been threatening natural environment and human safety in recent years. With increasing urbanization worldwide, municipal solid waste (MSW) has increased significantly. The integrated management of MSW is an effective method, but the accurate prediction of MSW generation is a complex problem. Some traditional prediction models (multi-variable linear regression model, time-series analysis model, etc.) are successful using simple methods, but they usually select a basic mathematical model in advance, which limits the ability to truly reflect the characteristics of MSW.

from News on Artificial Intelligence and Machine Learning https://ift.tt/Jy03g7I

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