Bayesian Convolutional Neural Networks as probabilistic surrogates for the fast prediction of stress fields in structures with microscale features.
Vasilis KrokosViet Bui XuanStéphane P. A. BordasPhilippe YoungPierre KerfridenPublished in: CoRR (2020)
Keyphrases
- convolutional neural networks
- bayesian networks
- neural network
- structural features
- low level
- prediction accuracy
- image features
- co occurrence
- computer vision
- complex structures
- posterior probability
- multiresolution
- feature space
- feature extraction
- image registration
- data driven
- face detection
- classification accuracy
- dynamic programming
- prediction error
- extracted features
- gaussian processes
- splice site