Beam Detection Based on Machine Learning Algorithms
Haoyuan Li Qing Yin
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.