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.
Zeitschrift:
Energy

ISSN: 0360-5442

Datum der Publikation: 2020

Ausgabe: 213

Art: Artikel

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