Extreme Learning Machine and Its Application in Parameter Identification of Proton Exchange Membrane Fuel Cell

Extreme Learning Machine and Its Application in Parameter Identification of Proton Exchange Membrane Fuel Cell

In order to develop an accurate model of proton exchange membrane fuel cell (PEMFC), it is essential to exactly identify unknown parameters in PEMFC. However, parameter identification of PEMFC is a multi-variable, multi-peak, and strongly coupled nonlinear optimization problem, of which traditional...

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Bibliographic Details
Main Author: YANG Bo, ZENG Chunyuan, CHEN Yijun, SHU Hongchun, CAO Pulin
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2023-04-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
proton exchange membrane fuel cell (pemfc)
parameter identification
extreme learning machine (elm)
meta-heuristic algorithms (mhas)
denoising
Online Access:https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-4-482.shtml

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