Neural Nets for First Break Detection in Seismic Reflection Data
نویسنده
چکیده
We present a comparative study of the performance of reported neural net algorithms for the detection of first breaks in seismic reflection data with regard to accuracy, learning rate and generalisability.
منابع مشابه
First Break Detection in Seismic Reflection Data with Fuzzy ARTMAP Neural Networks
In this paper we investigate the use of a supervised, but self-organizing, Adaptive Resonance Theory type of neural network (Fuzzy-ARTMAP), for first break picking in seismic reflection data. First break picking is the accurate location of the leading energy pulse received by a geophone in response to a seismic shot. The performance of Fuzzy-ARTMAP is compared to our previous work with multi-la...
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We present a comparative study of the performance of reported neural net algorithms for the detection of first breaks in seismic reflection data with regard to accuracy, learning rate and generalisability. In addition we suggest a new approach that produces improved results.
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