<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>For the last five years, image processing using artificial neural networks (ANN) got several researchers interested in the field of Civil Engineering. As the artificial neural network, which consists of several neurons may not be able to extract features from the image due to the required computing power, the Convolutional Neural Network (CNN) was created. CNN is a machine learning algorithm that uses the image as input, attributing the importance of different aspects (objects in the image) to allow their differentiation. The results recorded in Civil Engineering domain show a real success.</p>
</abstract>

For the last five years, image processing using artificial neural networks (ANN) got several researchers interested in the field of Civil Engineering. As the artificial neural network, which consists of several neurons may not be able to extract features from the image due to the required computing power, the Convolutional Neural Network (CNN) was created. CNN is a machine learning algorithm that uses the image as input, attributing the importance of different aspects (objects in the image) to allow their differentiation. The results recorded in Civil Engineering domain show a real success.

A Study on Image Processing Using Artificial Neural Networks in Civil Engineering

„Gheorghe Asachi” Technical University of Iaşi

Faculty of Civil Engineering and Building Services

Bulletin of the Polytechnic Institute of Iași. Construction. Architecture Section

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

For the last five years, image processing using artificial neural networks (ANN) got several researchers interested in the field of Civil Engineering. As the...

A Study on Image Processing Using Artificial Neural Networks in Civil Engineering

Online veröffentlicht: 18. Juli 2022

Seitenbereich: 85 - 94

Eingereicht: 15. Juni 2021

Akzeptiert: 06. Sept. 2021

DOI: https://doi.org/10.2478/bipca-2021-0027

Schlüsselwörter
artificial neural network, recognition, image processing, convolution, segmentation, construction

© 2021 Alexandrina-Elena Andon et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Study on Image Processing Using Artificial Neural Networks in Civil Engineering

Online veröffentlicht: 18. Juli 2022

Seitenbereich: 85 - 94

Eingereicht: 15. Juni 2021

Akzeptiert: 06. Sept. 2021

DOI: https://doi.org/10.2478/bipca-2021-0027

Schlüsselwörterartificial neural network, recognition, image processing, convolution, segmentation, construction

© 2021 Alexandrina-Elena Andon et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
artificial neural network, recognition, image processing, convolution, segmentation, construction