Modeling and Control of Fuel Cell Using Artificial Neural Networks
This paper includes an experimental study of hydrogen mass flow rate and inlet hydrogen pressure effect on the fuel cell performance. Depending on the experimental results, a model of fuel cell based on artificial neural networks is proposed. A back propagation learning rule with the log-sigmoid act...
| 出版年: | Journal of Engineering |
|---|---|
| 主要な著者: | , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
University of Baghdad
2015-12-01
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| 主題: | |
| オンライン･アクセス: | http://joe.uobaghdad.edu.iq/index.php/main/article/view/293 |