The positions of free electron laser beams on screens are precisely determined by a sequence of machine learning models. Transfer training is conducted in a self-constructed convolutional neural network based on VGG16 model. Output of intermediate layers are passed as features to a support vector regression model. With this sequence, 85.8% correct prediction is achieved on test data.
@article{arxiv.2308.00718,
title = {Beam Detection Based on Machine Learning Algorithms},
author = {Haoyuan Li and Qing Yin},
journal= {arXiv preprint arXiv:2308.00718},
year = {2023}
}