A Review of Enhancement of Biohydrogen Productions by Chemical Addition Using a Supervised Machine Learning Method

A Review of Enhancement of Biohydrogen Productions by Chemical Addition Using a Supervised Machine Learning Method

In this work, the impact of chemical additions, especially nano-particles (NPs), was quantitatively analyzed using our constructed artificial neural networks (ANNs)-response surface methodology (RSM) algorithm. Fe-based and Ni-based NPs and ions, including Mg<sup>2+</sup>, Cu<sup>2...

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Bibliographic Details
Main Authors: Yiyang Liu, Jinze Liu, Hongzhen He, Shanru Yang, Yixiao Wang, Jin Hu, Huan Jin, Tianxiang Cui, Gang Yang, Yong Sun
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Energies
Subjects:
biohydrogen (BioH<sub>2</sub>)
nanoparticles
quantitative assessment
artificial neuron networks
process intensifications
Online Access:https://www.mdpi.com/1996-1073/14/18/5916

Internet

https://www.mdpi.com/1996-1073/14/18/5916

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