| 多级BP神经网络石油测井信号分类器 |
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| 引用本文： | 黄载禄,段方勇,屈万里. 多级BP神经网络石油测井信号分类器[J]. 地球物理学报, 1994, 37(Z2): 562-568 |
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| 作者姓名： | 黄载禄 段方勇 屈万里 |
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| 作者单位： | 华中理工大学电子与信息工程系, 武汉 430074 |
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| 摘 要： | 本文提出了一种利用多级ＢＰ神经网络进行石油测井信号分类的新方法．介绍了用多级ＢＰ网络处理测井信号的分类器算法和网络结构，并给出了针对理论模拟信号的分类结果及针对实际模型井信号的分类结果，其正确率可达９０％以上．
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| 关 键 词： | BP网络 石油测井 信号识别 |
| 收稿时间： | 1992-05-08 |
A MULTISTAGE BP NEURAL NETWORK SIGNAL CLASSIFIER FOR OIL LOGGING |
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| HUANG ZAI-LU,DUAN FANG-YONG,QU WAN-LI. A MULTISTAGE BP NEURAL NETWORK SIGNAL CLASSIFIER FOR OIL LOGGING[J]. Chinese Journal of Geophysics, 1994, 37(Z2): 562-568 |
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| Authors: | HUANG ZAI-LU DUAN FANG-YONG QU WAN-LI |
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| Affiliation: | Dept.of Electronics & Information Engineering, Huazhong University of Science and Technology, Wuhan 430074 |
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| Abstract: | A new method to classify the oil logging signal using a multistage BP neural network is proposed in this pape The network structure is introduced. The improved back-propagation algorithm employed to train the BP network is presented The experimental results of classifying the theoretical simulative signal and the measured signal from real simulative wells are also introduced. The correct classification rate achived by this neural network is over of 90%. |
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| Keywords: | BP network Oil logging Signal classify |
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