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...
- 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