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

MLA

National Key R&D Program of China The Faculty Inspiration Grant of University of Nottingham Qianjiang Talent Scheme-Grant

, et al. “Optimization of Dark Fermentation for Biohydrogen Production Using a Hybrid Artificial Neural Network (ANN) and Response Surface Methodology (RSM) Approach.” Environmental Progress & Sustainable Energy. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1280464732&authtype=sso&custid=ns315887. Accessed 10 Mar. 2025.

APA

National Key R&D Program of China The Faculty Inspiration Grant of University of Nottingham Qianjiang Talent Scheme-Grant

, Wang, Y., Yang, G., Sage, V., Xu, J., Sun, G., He, J., & Sun, Y. (n.d.). Optimization of dark fermentation for biohydrogen production using a hybrid artificial neural network (ANN) and response surface methodology (RSM) approach. Environmental Progress & Sustainable Energy.

Chicago

National Key R&D Program of China The Faculty Inspiration Grant of University of Nottingham Qianjiang Talent Scheme-Grant

, Yunshan Wang, Gang Yang, Valérie Sage, Jian Xu, Guangzhi Sun, Jun He, and Yong Sun. 2025. “Optimization of Dark Fermentation for Biohydrogen Production Using a Hybrid Artificial Neural Network (ANN) and Response Surface Methodology (RSM) Approach.” Environmental Progress & Sustainable Energy. Accessed March 10. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1280464732&authtype=sso&custid=ns315887.