The Use of Artificial Neural Networks and Decision Trees to Predict the Degree of Odor Nuisance of Post-Digestion Sludge in the Sewage Treatment Plant Process

The Use of Artificial Neural Networks and Decision Trees to Predict the Degree of Odor Nuisance of Post-Digestion Sludge in the Sewage Treatment Plant Process

This paper presents the application of artificial neural networks and decision trees for the prediction of odor properties of post-fermentation sludge from a biological-mechanical wastewater treatment plant. The input parameters were concentrations of popular compounds present in the sludge, such as...

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Bibliographic Details
Main Authors: Hubert Byliński, Andrzej Sobecki, Jacek Gębicki
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sustainability
Subjects:
sludge
wastewater treatment plant
HS-GC-MS/MS
odor prediction
Online Access:https://www.mdpi.com/2071-1050/11/16/4407

Internet

https://www.mdpi.com/2071-1050/11/16/4407

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