Optimal model identification of the PEMFCs using optimized Rotor Hopfield Neural Network

Optimal model identification of the PEMFCs using optimized Rotor Hopfield Neural Network

In this paper, a new effective technique is presented for model identification of the Proton-exchange membrane (PEM) fuel cells by a new hybrid model of Rotor Hopfield Neural Network (RHNN). The concept is to lessen the Error between the empirical output voltage and the modeled produced voltage of t...

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Bibliographic Details
Main Authors: Ming Yang, Lu Zhang, Tong-Yi Li, Nasser Yousefi, Yuan-Kang Li
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Energy Reports
Subjects:
Collective guidance factor-based Pathfinder algorithm
Output voltage
PEM fuel cell
Rotor Hopfield Neural Network
System identification
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484721003656

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http://www.sciencedirect.com/science/article/pii/S2352484721003656

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