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
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;
Conference_Titel :
Artificial Neural Networks, 1993., Third International Conference on
Conference_Location :
Brighton
Print_ISBN :
0-85296-573-7
