Study on structural damage identification based on two-dimensional images and improved convolutional neural networks
To reduce the cost of structural damage detection, reduce the number of measurement points and samples, and address the issues of low recognition accuracy, weak noise robustness, and poor reliability in traditional deep learning models in the field of structural damage identification. This paper proposes a structural d...