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

Internet

https://ijph.tums.ac.ir/index.php/ijph/article/view/3214

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