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...

Full description

Autores:
Mokhtari, Maryam
Heshmati R., Ali Akbar
Shariatmadari, Nader
Tipo de recurso:
Article of journal
Fecha de publicación:
2014
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/63668
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/63668
http://bdigital.unal.edu.co/64114/
Palabra clave:
55 Ciencias de la tierra / Earth sciences and geology
Municipal solid waste
Compression ratio
Physical properties
ANFIS model
ANN model
Statistical criteria
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional