Model identification of Solid Oxide Fuel Cell using hybrid Elman Neural Network/Quantum Pathfinder algorithm

Model identification of Solid Oxide Fuel Cell using hybrid Elman Neural Network/Quantum Pathfinder algorithm

In this research, a new efficient method is introduced for model assessment of Solid Oxide Fuel Cell (SOFC) model using a new hybrid Elman Neural Network (ENN). The main purpose of this research is to minimize the Mean Squared Error (MSE) between empirical data and modeling data of the fuel cell out...

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Bibliografski detalji
Glavni autori: Hailong Jia, Bahman Taheri
Format: Članak
Jezik:English
Izdano: Elsevier 2021-11-01
Serija:Energy Reports
Teme:
Solid Oxide Fuel Cell
Modeling
Elman Neural Network
Quantum Pathfinder (QPF) algorithm
Output voltage
Online pristup:http://www.sciencedirect.com/science/article/pii/S2352484721003565

Internet

http://www.sciencedirect.com/science/article/pii/S2352484721003565

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