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Enhancing accuracy of prediction of critical heat flux in Circular channels by ensemble of deep sparse autoencoders and deep neural Networks

Rehan Zubair Khalid, Ahmed Ibrahim, Atta Ullah, Enrico Zio, Asifullah Khan

2024Nuclear Engineering and Design12 citationsDOI

Topics & Concepts

Artificial neural networkDeep neural networksArtificial intelligenceDeep learningFlux (metallurgy)Ensemble averageComputer scienceMaterials scienceGeologyClimatologyMetallurgyHeat transfer and supercritical fluidsHeat Transfer and Boiling StudiesNuclear Engineering Thermal-Hydraulics
Enhancing accuracy of prediction of critical heat flux in Circular channels by ensemble of deep sparse autoencoders and deep neural Networks | Litcius