| 基于自组织映射网络的模式分类器对储产层自动分类方法研究 |
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| 引用本文： | 杨维宁,王宏,匡建超,童孝华. 基于自组织映射网络的模式分类器对储产层自动分类方法研究[J]. 成都理工大学学报(自然科学版), 1994, 0(4) |
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| 作者姓名： | 杨维宁 王宏 匡建超 童孝华 |
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| 作者单位： | 成都理工学院应用数学系，成都理工学院石油系 |
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| 摘 要： | 文章提出了一种储产层识别及预测方法，该方法利用了神经网络中的自组织特征映射网络，它是由无人管理训练而得到的。当该网络被用作储产层的模式分类器时，它需要进行有导师指导的训练，这个模型就变为储产层的模式分类器。
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| 关 键 词： | 神经网络，自组织特征映射，模式分类器，储产层 |
THE METHOD OF AUTO-CLASSIFICATION OF RESERVOIRS USING THE PATTERN CLASSIFIER BASED ON SELF-ORGANIZING FEATURE MAP |
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| Yanq Weining,Wang Hong,Kuang Jianchao,Tong Xtaohua. THE METHOD OF AUTO-CLASSIFICATION OF RESERVOIRS USING THE PATTERN CLASSIFIER BASED ON SELF-ORGANIZING FEATURE MAP[J]. Journal of Chengdu University of Technology: Sci & Technol Ed, 1994, 0(4) |
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| Authors: | Yanq Weining Wang Hong Kuang Jianchao Tong Xtaohua |
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| Affiliation: | Yanq Weining;Wang Hong;Kuang Jianchao;Tong Xtaohua |
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| Abstract: | This paper introduces a method of reservoir recognition and prediction. The method uses aself-organizing feature map in neural network.The self-organizing feature map is implemented throughan unsupervised learning process.When this network is used as the patt6rn classifier for reservoirs,itneeds to be trained by the supervised process. Therefore,this model can become the pattern classifier forreservoIrs. |
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| Keywords: | neural network self-organizing feature map patt6rn classifier reservoir |
| 本文献已被 CNKI 等数据库收录！ |
