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Statistical Analysis on Random Matrices of Echo State Network in PEMFC System’s Lifetime Prediction

The data-driven method of echo state network (ESN) has been successfully used in the proton exchange membrane fuel cell (PEMFC) system’s lifetime prediction area. Nevertheless, the uncertainties of the randomly generated input and internal weight matrices in ESN have not been reported yet. In view o...

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Gardado en:
Principais autores: Zhiguang Hua, Zhixue Zheng, Marie-Cécile Péra, Fei Gao
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2022-03-01
Series:Applied Sciences
Assuntos:
proton exchange membrane fuel cell
degradation
prognostic
data-driven
echo state network
reservoir computing
Acceso en liña:https://www.mdpi.com/2076-3417/12/7/3421
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