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Figure 3
Sketch of the neural network architecture consisting of an embedding 1D CNN and prior injection into a combining multilayer perceptron. Here we use dynamic parameter ranges (min/max) for all free parameters. The Q-axis is to be defined prior to the training process, to be able to only provide 1D data (without q support vector). Postprocessing involves polishing of parameters predicted by ML by applying a traditional least-mean-squares fit.

Journal logoJOURNAL OF
SYNCHROTRON
RADIATION
ISSN: 1600-5775
Volume 30| Part 6| November 2023| Pages 1064-1075
https://doi.org/10.1107/S160057752300749X
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