Compression ratio of municipal solid waste simulation using artificial neural network and adaptive neurofuzzy system

Compression ratio of municipal solid waste simulation using artificial neural network and adaptive neurofuzzy system

The compression ratio of Municipal Solid Waste (MSW) is an essential parameter for evaluation of waste settlement. Since it is relatively time-consuming to determine compression ratio from oedometer tests and there exist difficulties associated with working on waste materials, it will be useful to d...

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Bibliographic Details
Main Authors: Maryam Mokhtari, Ali Akbar Heshmati R., Nader Shariatmadari
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2014-07-01
Series:Earth Sciences Research Journal
Subjects:
Municipal solid waste
Compression ratio
Physical properties
ANFIS model
ANN model
Statistical criteria
Online Access:https://revistas.unal.edu.co/index.php/esrj/article/view/41988

Internet

https://revistas.unal.edu.co/index.php/esrj/article/view/41988

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