Optimal estimation of the PEM fuel cells applying deep belief network optimized by improved archimedes optimization algorithm

The present study proposes a new efficient methodology for optimal model identification of the Proton-exchange membrane fuel cell (PEMFC) stacks based on an improved version of a Deep Belief Network (DBN). The proposed DBN has been updated by a new metaheuristic to provide the minimum relative error...

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Veröffentlicht in:	Energy (Oxford) 2021-12, Vol.237, p.121532, Article 121532
Hauptverfasser:	Sun, Xianke, Wang, Gaoliang, Xu, Liuyang, Yuan, Honglei, Yousefi, Nasser
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Belief networks Deep belief network Fuel cells Fuel technology Heuristic methods Improved archimedes optimization algorithm Model estimation Optimization Optimization algorithms Output voltage Proton exchange membrane fuel cells Protons Stacks
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