Classification of Geomembranes as Raw Material for Defects Reduction in the Manufacture of Biodigesters Using an Artificial Neuronal Network

Classification of Geomembranes as Raw Material for Defects Reduction in the Manufacture of Biodigesters Using an Artificial Neuronal Network

Recently, biodigesters have attracted much attention as an efficient alternative for energy generation and organic waste treatment. The final performance of a biodigester depends heavily on the quality of its building process and the selection of its raw material: the geomembrane. The geomembrane is...

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Bibliographic Details
Main Authors: Rocio Camarena-Martinez, Rocio A. Lizarraga-Morales, Roberto Baeza-Serrato
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Energies
Subjects:
artificial intelligence
artificial neural network
biodigester
geomembrane
quality
raw material
Online Access:https://www.mdpi.com/1996-1073/14/21/7345

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