A SELF-ORGANIZING NERVE-TREE MODEL OF VARIOUS SEIMIC INFORMATION FOR HYDROCARBON PREDICTION
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Abstract
A self-organizing nerve tree model for hydrocarbon standard prediction was presented and a group of training samples were selected as study objective in the paper, in which the successful rate for prediction is 100%. Could be with high quantity, the model therefore could be a potential for hydrocarbon predition on seismic information.
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