Evaluation of artificial neural network algorithms for predicting the effect of the urine flow rate on the power performance of microbial fuel cells. (2020)
Attributed to:
MFC Commercialisation through continued Research, Networking and Collaboration (MFCC-RNC)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.energy.2020.118806
PubMed Identifier: 33335352
Publication URI: http://europepmc.org/abstract/MED/33335352
Type: Journal Article/Review
Volume: 213
Parent Publication: Energy (Oxford, England)
ISSN: 0360-5442