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| 地震序列类型的确定与现场预报规则的获取 | |
| 引用本文： | 庄昆元,王炜,黄冰树,章纯.地震序列类型的确定与现场预报规则的获取[J].地震,2001,21(3):15-20. |
| 作者姓名： | 庄昆元 王炜 黄冰树 章纯 |
| 作者单位： | 1.上海市地震局,上海 200062; 2.上海材料研究所,上海 200437 |
| 基金项目： | 上海市科技发展基金项目 ( 94 2 912 10 ) |
| 摘 要： | 论述了“震后趋势决策支持系统PTDSS”中的知识学习问题。以某些地震参数与序列类型的关系为例,介绍了如何确定地震序列类型以及系统通过FAM模型进行机器学习的方法。通过学习系统得到了一批非常有用的早期判断序列类型的知识。 |
| 关 键 词： | 地震序列 地震类型 机器学习 神经网络 模糊联想记忆FAM模型 |
| 文章编号： | 1000-3274(2001)03-0015-06 |
| 收稿时间： | 2000-12-26 |
| 修稿时间： | 2000年12月26 |
Determination of sequence type and knowledge self- learning |
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| ZHUANG Kun yuan ,WANG Wei ,HUANG Bing shu ,ZNANG Chun.Determination of sequence type and knowledge self- learning[J].Earthquake,2001,21(3):15-20. | |
| Authors: | ZHUANG Kun yuan WANG Wei HUANG Bing shu ZNANG Chun |
| Institution: | 1. Seismological Bureau of Shanghai Municipality, Shanghai 200062, China; 2. Material Institute of Shanghai Municipality, Shanghai 200437, China |
| Abstract: | In this paper the problem of self learning in the Post earthquake Tendency Decision Support System (PTDSS) is discussed. The method of Fussy Associative Memory is introduced for solving this problem, and a digital method for determination of earthquake sequence type is presented. A great deal of meaningful experience are obtained in this system by self learning which can be used to determine the sequence type in early stage of sequence. The examples show that this digital method is more efficient for the classification of sequence type than the traditional one. |
| Keywords: | Earthquake sequence Earthquake type Machine learning Neural network Fussy associative memory FAM model |
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