Comparison of Neural Network and Principal Component-Regression Analysis to Predict the Solid Waste Generation in Tehran

Comparison of Neural Network and Principal Component-Regression Analysis to Predict the Solid Waste Generation in Tehran

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Background: Municipal solid waste (MSW) is the natural result of human activities. MSW generation modeling is of prime importance in designing and programming municipal solid waste management system. This study tests the short-term prediction of waste generation by artificial neural network (ANN)...

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Bibliographic Details
Main Authors:	R Noori, MA Abdoli, M Jalili Ghazizade, R Samieifard
Format:	Article
Language:	English
Published:	Tehran University of Medical Sciences 2009-03-01
Series:	Iranian Journal of Public Health
Subjects:	Prediction of waste generation Artificial neural network Multivariable linear regression Principle component analysis
Online Access:	https://ijph.tums.ac.ir/index.php/ijph/article/view/3214

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