A multi-layer feed-forward architecture with back-propagation learning was used to determine seismic crew noise. Testing was performed on the entire shot record using a sliding window. Two types of visual displays became important to the analysis of the network's results for testing upon shot records. The results indicate that a neural network can be successfully trained to identify seismic crew noise in marine surveys.
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