HIGHLIGHTS
SUMMARY
A and B type signals serve to instruct the neural_network algorithm for pattern_recognition of VLF atmospheric signals. A particular case of machine_learning techniques is represented by neural_networks (NN). The main advantage in using neural_networks as compared to other types of machine_learning techniques is that features relevant for the prediction do not need to be selected in advance as they are automatically found by network training. Laboratory OIS can be used effectively to enlarge the data set and to train the neural_network for the detection of OIS signals in the atmosphere. When dealing with neural_networks . . .
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