Damage identification method of prestressed concrete beam bridge based on convolutional neural network.
Sanqiang YangYong HuangPublished in: Neural Comput. Appl. (2021)
Keyphrases
- error rate
- detection method
- main contribution
- significant improvement
- classification method
- dynamic programming
- convolutional neural network
- support vector machine
- computational cost
- high accuracy
- cost function
- learning algorithm
- segmentation method
- synthetic data
- fully automatic
- cross section
- computationally efficient
- support vector machine svm
- input data
- computational complexity
- feature extraction
- image processing