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Discrimination Of Seismic Signals Using Artificial Neural Networks
The automatic discrimination of seismic signals is an important practical goal for earth-science observatories due to the large amount of information that they receive continuously. An essential discrimination task is to allocate the incoming signal to a group associated with the kind of physical phenomena producing it. In this paper, two classes of seismic signals recorded routinely in geophysical laboratory of the National Center for Scientific and Technical Research in Morocco aredoi:10.5281/zenodo.1075000 fatcat:mub6kyxpqfh75h2hqylfsnvvk4