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Boosting Power Density of Proton Exchange Membrane Fuel Cell Using Artificial Intelligence and Optimization Algorithms.

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第一作者： Rania M,Ghoniem

第一单位： Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia.

作者： Rania M,Ghoniem ^[1] ; Tabbi,Wilberforce ^[2] ; Hegazy,Rezk ^[3] ; Samer,As'ad ^[4] ; Ali,Alahmer ^[5]

作者单位： Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia. ^[1] Department of Engineering, Faculty of Natural, Mathematical & Engineering Sciences, King's College London, London WC2R 2LS, UK. ^[2] Department of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam bin Abdulaziz University, Riyadh 11942, Saudi Arabia.;Department of Electrical Engineering, Faculty of Engineering, Minia University, Elminia 61519, Egypt. ^[3] Renewable Energy Engineering Department, Faculty of Engineering, Middle East University, Amman 11831, Jordan. ^[4] Department of Mechanical Engineering, Tuskegee University, Tuskegee, AL 36088, USA.;Department of Mechanical Engineering, Faculty of Engineering, Tafila Technical University, Tafila 66110, Jordan. ^[5]

关键词 ANFIS PEM fuel cell Salp swarm algorithm evolutionary optimization fuzzy modeling grey wolf optimizer particle swarm optimization power density root mean square error

DOI 10.3390/membranes13100817

PMID 37887989

发布时间 2023-10-29

基金项目

PNURSP2023R138/Princess Nourah bint Abdulrahman University Researchers

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