The EPSCoRe Supplemental Grant for An Application of Neural Networks to Seismic Signal Discrimination was used to fund a Graduate Student for work with a parent ARPA project. The students course and research activities are presented along with a copy of the completed Masters Thesis based on the application of an ARMA model for seismic event discrimination.
Research focused on identification and collection of a suitable database, identification of parametric representation of the time series seismic waveforms, and the training and testing of neural networks for seismic event classification. It was necessary to utilize seismic events that had a high degree of reliability for accurate training of the neural networks. The seismic waveforms were obtained from the Center for Seismic Studies and were organized into smaller databases ...
This is the first Annual Technical Summary of the West Virginia Institute of Technology Applications of Neural Networks to Seismic Classification project. The first year of research focused on identification and collection of a suitable database, identification of parametric representation of the time series seismic waveforms, and the initial training and testing of neural networks for seismic event classification. It was necessary to utilize seismic events that had a high ...
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