- Tytuł:
- Black box dynamic modelling of proton exchange membrane fuel cells with artificial neural networks
- Autorzy:
- Kapica, J.
- Powiązania:
- https://bibliotekanauki.pl/articles/411175.pdf
- Data publikacji:
- 2016
- Wydawca:
- Polska Akademia Nauk. Oddział w Lublinie PAN
- Tematy:
-
PEM fuel cells
neural network model
dynamic behaviour
black box - Opis:
- The fuel cells are energy sources which can play an important role in transition of the energy sector into broader use of renewable energy. Numerical modelling provides an easy way to investigate properties of the objects modelled. There are various ways to model dynamic behaviour of the PEM fuel cells including methods using artificial neural networks. There are no clear rules of how a neural network should be configured: how many neurons in the hidden layer and which training algorithm should be used. In a time series modelling task additional parameters including sampling frequency, learning data set duration and number of past data points used for training need to be determined. The paper presents results of research on the influence of various model parameters on the PEM fuel cell modelling accuracy.
- Źródło:
-
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2016, 5, 4; 85-89
2084-5715 - Pojawia się w:
- ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
- Dostawca treści:
- Biblioteka Nauki
Artykuł