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Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables

Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Mohammed Al-Shargabi, Valeriy S. Rukavishnikov

2023Separation and Purification Technology78 citationsDOI

Topics & Concepts

Extreme learning machineArtificial neural networkAdaptive neuro fuzzy inference systemMachine learningSupport vector machineLeverage (statistics)Artificial intelligenceComputer scienceOutlierVariablesData miningFuzzy logicFuzzy control systemHydrogen Storage and MaterialsFuel Cells and Related MaterialsHybrid Renewable Energy Systems
Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables | Litcius