[引用][C] Tomographic velocity images by artificial neural networks
Tomographic Velocity Images by Artificial Neural Networks
D Noureddine, B Kamel, D Mabrouk - searchanddiscovery.com
In order to obtain velocity image from a borehole to borehole seismic tomographic
experiment, the artificial neurone networks of Elmen type, were trained to reconstruct the
velocity from the traveltime. This type of network offers an advantage of training simplicity by
the Back-propagation conjugate gradient algorithm. The behavior observed of networks on
training data is very similar to the one observed on test data. The efficiency of these
networks is tested with the complex geologic model, and the results were very encouraging …
experiment, the artificial neurone networks of Elmen type, were trained to reconstruct the
velocity from the traveltime. This type of network offers an advantage of training simplicity by
the Back-propagation conjugate gradient algorithm. The behavior observed of networks on
training data is very similar to the one observed on test data. The efficiency of these
networks is tested with the complex geologic model, and the results were very encouraging …
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