Convolutional Neural Network and Support Vector Machine for Prediction of Damage Intensity to Multi-Storey Prefabricated RC Buildings

Convolutional Neural Network and Support Vector Machine for Prediction of Damage Intensity to Multi-Storey Prefabricated RC Buildings

This paper presents the results of a comparative analysis of Convolutional Neural Network (CNN) and Support Vector Machine (SVM) models created for the prediction of the extent and intensity of damage caused to multi-storey reinforced concrete (RC) buildings. The research was conducted on a group of...

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Bibliographic Details
Main Authors: Adrian Jędrzejczyk, Karol Firek, Janusz Rusek
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Energies
Subjects:
Convolutional Neural Network
Support Vector Machine
building damage
damage intensity
RC structures
Online Access:https://www.mdpi.com/1996-1073/15/13/4736

Internet

https://www.mdpi.com/1996-1073/15/13/4736

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