A Study of Anode-Supported Solid Oxide Fuel Cell Modeling and Optimization Using Neural Network and Multi-Armed Bandit Algorithm

Anode-supported solid oxide fuel cells (SOFCs) model based on artificial neural network (ANN) and optimized design variables were modeled. The input parameters of the anode-supported SOFC model developed in this study are as follows: current density, temperature, electrolyte thickness, anode thickne...

詳細記述

保存先:
書誌詳細
主要な著者: Changhee Song, Sanghoon Lee, Bonhyun Gu, Ikwhang Chang, Gu Young Cho, Jong Dae Baek, Suk Won Cha
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2020-04-01
シリーズ:Energies
主題:
anode-supported solid oxide fuel cell
artificial neural network
optimization
multi-armed bandit algorithm
オンライン･アクセス:https://www.mdpi.com/1996-1073/13/7/1621
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