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A Study of Anode-Supported Solid Oxide Fuel Cell Modeling and Optimization Using Neural Network and Multi-Armed Bandit Algorithm
Anode-supported solid oxide fuel cells (SOFCs) model based on artificial neural network (ANN) and optimized design variables were modeled. The input parameters of the anode-supported SOFC model developed in this study are as follows: current density, temperature, electrolyte thickness, anode thickne...
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| Main Authors: | , , , , , , |
|---|---|
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI AG
2020-04-01
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| 叢編: | Energies |
| 主題: | |
| 在線閱讀: | https://www.mdpi.com/1996-1073/13/7/1621 |
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