Comparative study on prediction of fuel cell performance using machine learning approaches (2016)
Attributed to:
Robust Lifecycle Design and Health Monitoring for Fuel-Cell Extended Performance (RESILIENCE)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Type: Conference/Paper/Proceeding/Abstract