Evaluation of artificial neural network algorithms for predicting the effect of the urine flow rate on the power performance of microbial fuel cells

1. de Ramón-Fernández, A.
2. Salar-García, M.J.
3. Ruiz Fernández, D.
4. Greenman, J.
5. Ieropoulos, I.A.

Export

Export

×

MLA

modern-language-association

APA

apa

Chicago

chicago-fullnote-bibliography

Harvard

harvard-cite-them-right

Vancouver

vancouver-author-date

---

RIS BibTex

Export

×

This document cannot be exported because it belongs to another portal.

Full text

lock_openFull text externo

DOI: 10.1016/J.ENERGY.2020.118806 GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

• 

Data source: Scopus