Beam Detection Based on Machine Learning Algorithms

Autor:	Li, Haoyuan, Yin, Qing
Rok vydání:	2023
Předmět:	Physics - Data Analysis Statistics and Probability Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2308.00718 Zobrazit plný text záznamu View this record from Arxiv