DocumentCode :
1881027
Title :
Application of neural nets to seismic signal analysis
Author :
Dimitropoulos, C.H. ; Boyce, J.F.
Author_Institution :
Wheatstone Lab., King´´s Coll. London, UK
fYear :
1993
fDate :
29-30 Mar 1993
Firstpage :
62
Lastpage :
67
Abstract :
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
Keywords :
geophysics computing; neural nets; seismology; signal processing; learning rate; neural net algorithms; seismic reflection data; seismic signal analysis;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Acoustic Sensing and Imaging, 1993., International Conference on
Conference_Location :
London
Print_ISBN :
0-85296-575-3
Type :
conf
Filename :
292854
Link To Document :
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