An integrated approach based on virtual data augmentation and deep neural networks modeling for VFA production prediction in anaerobic fermentation process

Title
An integrated approach based on virtual data augmentation and deep neural networks modeling for VFA production prediction in anaerobic fermentation process
Authors
Keywords
Anaerobic fermentation, Deep neural networks (DNNs), Random standard deviation sampling method (RSDS), Datasets, Volatile fatty acid (VFA)
Journal
WATER RESEARCH
Volume 184, Issue -, Pages 116103
Publisher
Elsevier BV
Online
2020-06-30
DOI
10.1016/j.watres.2020.116103

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