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Article Navigation >  PETROLEUM GEOLOGY & EXPERIMENT  > 1996  >  18(1): 111-116
Cai Yudong, Xu Weijie. A SELF-ORGANIZING NERVE-TREE MODEL OF VARIOUS SEIMIC INFORMATION FOR HYDROCARBON PREDICTION[J]. PETROLEUM GEOLOGY & EXPERIMENT, 1996, 18(1): 111-116. doi: 10.11781/sysydz199601111
Citation: Cai Yudong, Xu Weijie. A SELF-ORGANIZING NERVE-TREE MODEL OF VARIOUS SEIMIC INFORMATION FOR HYDROCARBON PREDICTION[J]. PETROLEUM GEOLOGY & EXPERIMENT, 1996, 18(1): 111-116. doi: 10.11781/sysydz199601111
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A SELF-ORGANIZING NERVE-TREE MODEL OF VARIOUS SEIMIC INFORMATION FOR HYDROCARBON PREDICTION

doi: 10.11781/sysydz199601111

  • Shanghai Institute of Metallurgy, CAS

  • Received Date: 1994-04-24
  • Publish Date: 1996-01-25
    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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    R. Hecht-Nilsen. Theory of the Backpropagation Neural Network. Int. J. Conf. on Neural Network, Washington D.C. June, 1989
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    T. Li, L. Fang and K. Q. Li. Hierarchical classification and vector quantization with neural network treca. Neurcomputing,1893,5(2-3)
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    肖辞源等.综合多种地震信息预测油气富集区的模糊数学方法.石油地球物理勘探,1990,(2)
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