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:	Firek, K. (Author), Jędrzejczyk, A. (Author), Rusek, J. (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	building damage Building damage Buildings Classification (of information) Construction industry Convolution Convolutional neural network Convolutional Neural Network Convolutional neural networks damage intensity Damage intensity Forecasting Life cycle Neural network and support vector machines RC structures Reinforced concrete Reinforced concrete buildings Reinforced concrete structures Statistical tests Support Vector Machine Support vector machine models Support vector machines Support vectors machine Sustainable development Test sets Thermal insulation Training sets
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Convolutional Neural Network and Support Vector Machine for Prediction of Damage Intensity to Multi-Storey Prefabricated RC Buildings

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