Comparative study on prediction of fuel cell performance using machine learning approaches
This paper provides a comparative study to evaluate the effectiveness of machine learning techniques in predicting fuel cell performance. Several methods applied in fuel cell prognostics are selected, including a neural network, an adaptive neuro-fuzzy inference system, and a particle filtering appr...
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| Main Authors: | , |
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| Format: | Default Article |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/22492 |
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