Optimising Convolutional Neural Networks to Predict the Hygrothermal Performance of Building Components
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- Janssen, Hans, 2013. "Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 123-132.
- Bienvenido-Huertas, David & Moyano, Juan & Rodríguez-Jiménez, Carlos E. & Marín, David, 2019. "Applying an artificial neural network to assess thermal transmittance in walls by means of the thermometric method," Applied Energy, Elsevier, vol. 233, pages 1-14.
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- Mikael Salonvaara & Andre Desjarlais & Antonio J. Aldykiewicz & Emishaw Iffa & Philip Boudreaux & Jin Dong & Boming Liu & Gina Accawi & Diana Hun & Eric Werling & Sven Mumme, 2023. "Application of Machine Learning to Assist a Moisture Durability Tool," Energies, MDPI, vol. 16(4), pages 1-20, February.
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Keywords
Metamodeling; Convolutional neural networks; Time series modelling; Probabilistic assessment; Hygrothermal assessment;All these keywords.
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