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: Other
Volume: 1
Parent Publication: Lecture Notes in Engineering and Computer Science
ISSN: 20780958