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    Volume 25 Issue 6
    Jun.  2000
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    Article Contents
    ZHOU Jinghui, YAN Taining, TU Houze, 2000. APPLICATION OF ARTIFICIAL NEURAL NETWORK TO IDENTIFICATION OF DRILLED STRATA. Earth Science, 25(6): 642-646.
    Citation: ZHOU Jinghui, YAN Taining, TU Houze, 2000. APPLICATION OF ARTIFICIAL NEURAL NETWORK TO IDENTIFICATION OF DRILLED STRATA. Earth Science, 25(6): 642-646.

    APPLICATION OF ARTIFICIAL NEURAL NETWORK TO IDENTIFICATION OF DRILLED STRATA

    • Received Date: 1999-11-22
    • Publish Date: 2000-11-25
    • The artificial neural network (ANN) method is used to solve the puzzle that occur in the drilling: the identification of the lithology of the strata drilled. The drilling features are used to design the structure and output form of the ANN, to develop the ANN software for the identification of the strata drilled, to analyze various factors that affects the application of the ANN and to make a further research into the optimum design of the ANN. The research shows that the ANN perfectly matches the identification of the strata drilled. Various ANN parameters such as the training efficiency, the hidden layer number, the hidden layer unit number, and the data processing may affect the application of the ANN.

       

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      姚姚. 人工神经网络和非线性反演[M]. 武汉: 中国地质大学出版社, 1993. 8~12.
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