Beam Detection Based on Machine Learning Algorithms
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Abstract (arXiv)
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.
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- 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
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