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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Bibliographic Details

Main Authors:	Lei Mao, Lisa Jackson
Format:	Default Article
Published:	2016
Subjects:	Other engineering not elsewhere classified Fuel cell Prognostics Machine learning technique Neural network Adaptive neuro-fuzzy inference system Particle filtering approach Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/22492
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