Predicting the hydrogen uptake ability of a wide range of zeolites utilizing supervised machine learning methods
Seyed Mehdi Alizadeh, Zahra Parhizi, Ali Hosin Alibak, Behzad Vaferi, Saleh Hosseini
Topics & Concepts
Artificial neural networkAbsolute deviationSigmoid functionMean squared errorLeverage (statistics)Root mean squareRange (aeronautics)LogarithmTangentMean absolute percentage errorRelative standard deviationComputer scienceArtificial intelligenceMathematicsStatisticsMaterials sciencePhysicsMathematical analysisQuantum mechanicsComposite materialDetection limitGeometryHydrogen Storage and MaterialsZeolite Catalysis and SynthesisMetal-Organic Frameworks: Synthesis and Applications