| 自组织竞争网络模型在地震预报研究中的应用 |
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| 引用本文： | 温岩,张晨侠.自组织竞争网络模型在地震预报研究中的应用[J].东北地震研究,2003,19(4):18-23. |
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| 作者姓名： | 温岩 张晨侠 |
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| 作者单位： | 吉林省地震局,吉林,长春,130022 |
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| 摘 要： | 本文简述了自组织竞争模型的原理，研究了其在地震预报样本分类中的应用。并采用遗传算法对其网络结构参数进行优化，对输入样本参数进行优选。震例检验结果显示自组织竞争网络具有较好的分类效果，经遗传算法优化后的模型分类效果得到进一步改善。
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| 关 键 词： | 竞争网络 遗传算法 显示 自组织 分类效果 模型分类 输入 地震预报 震例 样本 |
| 文章编号： | 1004-2865(2003)04-0018-06 |
SELF- ORGANIZATION COMPETITION ARTIFICIAL NEURAL NETWORK AND ITS APPLICATION IN EARTHQUAKE PREDICTION RESEARCH |
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| WEN YanZHANG Chen-xia.SELF- ORGANIZATION COMPETITION ARTIFICIAL NEURAL NETWORK AND ITS APPLICATION IN EARTHQUAKE PREDICTION RESEARCH[J].Seismological Research of Northeast China,2003,19(4):18-23. |
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| Authors: | WEN YanZHANG Chen-xia |
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| Abstract: | In this paper, the principle of self-organization competition artificial neural network (SCANN) is summarized and its application to earthquake sample classification is studied. The genetic algorithm (GA) is also used to optimize network structure and select input parameters. The results verified by an earthquake example show that SCANN has preferable classification effect and that of SCANN optimized with GA has a further improvement. |
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| Keywords: | Earthquake prediction Self-organization competition neural network Genetic algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
