Multiple linear regression and artificial neural networks to predict time and efficiency of soil vapor extraction
The prediction of the time and the efficiency of the remediation of contaminated soils using soil vapor extraction remain a difficult challenge to the scientific community and consultants. This work reports the development of multiple linear regression and artificial neural network models to predict...
| Autor principal: | |
|---|---|
| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2014
|
| Texto completo: | https://hdl.handle.net/10216/104343 |
| País: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/104343 |