Artificial neural network-based model predictive control for optimal operating conditions in proton exchange membrane fuel cells

Research article (Journal of Cleaner Production, 2022) · cited 37× · AI/ML
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Artificial neural network-based model predictive control for optimal operating conditions in proton exchange membrane fuel cells

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Artificial neural network-based model predictive control for optimal operating conditions in proton exchange membrane fuel cells is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Artificial neural network-based model predictive control for optimal operating conditions in proton exchange membrane fuel cells. Retrieved May 24, 2026, from https://4ort.xyz/entity/artificial-neural-network-based-model-predictive-control-for-optimal-operating-conditions-in-proton-exchange-membrane-fu
MLA “Artificial neural network-based model predictive control for optimal operating conditions in proton exchange membrane fuel cells.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/artificial-neural-network-based-model-predictive-control-for-optimal-operating-conditions-in-proton-exchange-membrane-fu.
BibTeX @misc{4ortxyz_artificial-neural-network-based-model-predictive-control-for-optimal-operating-conditions-in-proton-exchange-membrane-fu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Artificial neural network-based model predictive control for optimal operating conditions in proton exchange membrane fuel cells}}, year = {2026}, url = {https://4ort.xyz/entity/artificial-neural-network-based-model-predictive-control-for-optimal-operating-conditions-in-proton-exchange-membrane-fu}, note = {Accessed: 2026-05-24}}
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