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