DocumentCode
286735
Title
Neural nets for first break detection in seismic reflection data
Author
Dimitropoulos, C.H. ; Boyce, J.F.
Author_Institution
King´´s Coll. London, UK
fYear
1993
fDate
25-27 May 1993
Firstpage
153
Lastpage
172
Abstract
Presents 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
Keywords
geophysical techniques; geophysics computing; learning (artificial intelligence); neural nets; pattern recognition; seismology; accuracy; first break detection; generalisability; learning rate; neural net; seismic reflection data; seismology;
fLanguage
English
Publisher
iet
Conference_Titel
Artificial Neural Networks, 1993., Third International Conference on
Conference_Location
Brighton
Print_ISBN
0-85296-573-7
Type
conf
Filename
263237
Link To Document