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...

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Bibliographic Details
Main Author: Albergaria, José Tomás (author)
Other Authors: Martins, F.G. (author), Alvim-Ferraz, Maria da Conceição M. (author), Delerue-Matos, Cristina (author)
Format: article
Language:eng
Published: 2015
Subjects:
Soil vapor extraction
Artificial neural networks
Multiple linear regression
Remediation time
Process efficiency
Online Access:http://hdl.handle.net/10400.22/5313
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/5313

Internet

http://hdl.handle.net/10400.22/5313

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