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DTIC ADA260030: Test and Evaluation of Neural Network Applications ...
by Defense Technical Information Center
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This study describes operational test and evaluation of
two neural network applications that were integrated into
the Intelligent Monitoring System (IMS) for automated
processing and interpretation of regional seismic data.
Also reported is the result of a preliminary study on the
application of neural networks to regional seismic event
identification. The first application is for initial
identification of seismic phases (P or S) recorded by 3-
component stations based on polarization data and
context. This neural network performed 3-6% better than
the current rule-based system when tested on data
obtained from the 3-component IRIS stations in the former
Soviet Union. This resulted in an improved event bulletin
which showed that the number of analyst-verified events
that were missed by the automated processing decreased by
more than a factor of 2 (about 10 events/week). The
second operational test was conducted on the neural
network developed by MIT/Lincoln Laboratory for regional
final phase identification (e.g., Pn, Pg, Sn, Lg, and
Rg). This neural network performed 3. 3% better than the
rule-based system in IMS station processing. However, for
the final phase identifications obtained after network
processing (where data from all stations are combined),
the gain dropped to about 1.0%. It is likely that this
could be regained by using the neural network phase
identification confidence factors in the network
processing. Finally, our preliminary study on the
application of neural networks to identify regional
seismic events on the basis of coda shape gave about 80%
accuracy on data recorded at GERESS. In general, the
neural network classifier utilized the coda decay rate
which was lower for the earthquakes than it was for the
explosions, although there was substantial overlap.
Date Published: 2018-03-09 10:19:56
Identifier: DTIC_ADA260030
Item Size: 37952870
Language: english
Media Type: texts
# Topics
DTIC Archive; Patnaik, Gagan B ; SCIE...
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