Application of Support Vector Regression to the Prediction of the Long-Term Impacts of Climate Change on the Moisture Performance of Wood Frame and Massive Timber Walls

The objective of this study was to explore the potential of a machine learning algorithm, the Support Vector Machine Regression (SVR), to forecast long-term hygrothermal responses and the moisture performance of light wood frame and massive timber walls. Hygrothermal simulations were performed using...

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Bibliographic Details
Main Authors: Naman Bansal, Maurice Defo, Michael A. Lacasse
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/11/5/188