Optimization of dark fermentation for biohydrogen production using a hybrid artificial neural network (ANN) and response surface methodology (RSM) approach

Authors :: <p>National Key R&D Program of China The Faculty Inspiration Grant of University of Nottingham Qianjiang Talent Scheme-Grant</p>
Wang, Yunshan
Yang, Gang
Sage, Valérie
Xu, Jian
Sun, Guangzhi
He, Jun
Sun, Yong
<p>National Key R&D Program of China The Faculty Inspiration Grant of University of Nottingham Qianjiang Talent Scheme-Grant</p>
Wang, Yunshan
Yang, Gang
Sage, Valérie
Xu, Jian
Sun, Guangzhi
He, Jun
Sun, Yong
Source :: Environmental Progress & Sustainable Energy
Abstract: Wang, Y., Yang, G., Sage, V., Xu, J., Sun, G., He, J., & Sun, Y. (2021). Optimization of dark fermentation for biohydrogen production using a hybrid artificial neural network (ANN) and response surface methodology (RSM) approach. Environmental Progress & Sustainable Energy, 40(1), article e13485. https://doi.org/10.1002/ep.13485 </a>

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