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article · Journal of Tangshan Teachers College · 2007

Modleing of Proton Exchange Membrane Fuel Cell Stack Thermal System Based on the Method of BP Neural Networks

Xuedong Du

Cited by 0Abstract and details only

Abstract

The temperature of the proton exchange membrane fuel cell(PEMFC)stack is a key factor to influence the performance of the cell.It is necessary to build a model of PEMFC stack in order to control the temperature exactly.A approach using the method of BP neural networks to model the PEMFC stack was put forward and used to fit the experimental dates,the results was satisfying.

Cite this paper

APA 7

Du, X. (2007). Modleing of Proton Exchange Membrane Fuel Cell Stack Thermal System Based on the Method of BP Neural Networks. Journal of Tangshan Teachers College.

MLA 9

Du, Xuedong. “Modleing of Proton Exchange Membrane Fuel Cell Stack Thermal System Based on the Method of BP Neural Networks.” Journal of Tangshan Teachers College, 2007.

Chicago

Du, Xuedong. 2007. “Modleing of Proton Exchange Membrane Fuel Cell Stack Thermal System Based on the Method of BP Neural Networks.” Journal of Tangshan Teachers College.

Harvard

Du, X. (2007) ‘Modleing of Proton Exchange Membrane Fuel Cell Stack Thermal System Based on the Method of BP Neural Networks’, Journal of Tangshan Teachers College.

BibTeX
@article{du2007modleing,
  title = {{Modleing of Proton Exchange Membrane Fuel Cell Stack Thermal System Based on the Method of BP Neural Networks}},
  author = {Du, Xuedong},
  journal = {Journal of Tangshan Teachers College},
  year = {2007}
}

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