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.
Revista:
Energy

ISSN: 0360-5442

Any de publicació: 2020

Volum: 213

Tipus: Article

DOI: 10.1016/J.ENERGY.2020.118806 GOOGLE SCHOLAR lock_openAccés obert editor

Objectius de Desenvolupament Sostenible