| 反传网络(CPN)的改进及其在储层预测中的应用 |
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| 引用本文： | 何平,胡远来.反传网络(CPN)的改进及其在储层预测中的应用[J].成都理工大学学报(自然科学版),1998(Z1). |
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| 作者姓名： | 何平 胡远来 |
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| 作者单位： | 成都理工学院应用数学系 |
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| 摘 要： | 反传网络（ＣＰＮ）是由Ｋｏｈｏｎｅｎ自组织特征映射和Ｇｒｏｓｓｂｅｒｇ外星网络组合形成的一种无指导混合分类器网络。本文尝试用反传网络对地震信息进行油气预测和分类。首先实现该网络的常规算法，然后对其进行了改进，最后利用这一算法对某油田的地震资料进行了ＣＰＮ网络的学习建模及油气预测计算，取得了较为满意的效果。
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| 关 键 词： | 反传网络，Kohonen自组织特征映射，Grossberg外星网络，混合分类器网络 |
THE IMPROVEMENT OF COUNTER PROPAGATION NETWORK(CPN) AND ITS APPLICATION TO RESERVOIR PREDICTION |
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| He Ping,Hu Yuanlai.THE IMPROVEMENT OF COUNTER PROPAGATION NETWORK(CPN) AND ITS APPLICATION TO RESERVOIR PREDICTION[J].Journal of Chengdu University of Technology: Sci & Technol Ed,1998(Z1). |
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| Authors: | He Ping Hu Yuanlai |
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| Abstract: | Counter propagation network(CPN) is a blend classification network which is composed of Kohonen self organizing feature map network and Grossberg outer star network. This article dwells on the application of CPN to the oil gas prediction and classification based on seismic information.An actual example shows that this algorithm has faster iterative speed and better effects. |
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| Keywords: | counter propagation network(CPN) Kohonen self organizing feature map network Grossberg outer star network blend classification network |
| 本文献已被 CNKI 等数据库收录！ |
