A global approach for a consistent identification of static and dynamic phenomena in a PEM Fuel Cell.
Sami El AabidJérémi RégnierChristophe TurpinOlivier RallièresEmilie SoyezN. ChadourneJulien d'ArbignyT. HordéE. FochPublished in: Math. Comput. Simul. (2019)
Keyphrases
- fuel cell
- globally consistent
- fault detection
- real time
- artificial neural networks
- identification rate
- multidatabase systems
- data sets
- decision making
- website
- social networks
- rough sets
- search engine
- globally optimal
- automatic identification
- artificial intelligence
- learning algorithm
- person identification
- data mining