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Sugeno fuzzy inference algorithm and its application in epicentral intensity prediction

机译:Sugeno模糊推理算法及其在震中强度预测中的应用

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摘要

In this paper, the epicentral intensity prediction model based on Sugeno fuzzy inference system has been proposed where the earthquake magnitude and the depth of hypocenter are input and the epicentral intensity is output. The parameters of the proposed model are estimated by statistical analysis based on the historical data for Sichuan earthquake in the last decades. Finally, by comparison with the existing fitting model, the proposed model has better efficiency and higher accuracy.
机译:本文提出了基于Sugeno模糊推理系统的震中烈度预测模型,该模型输入了地震震级和震源深度,输出震中烈度。基于最近几十年四川地震的历史数据,通过统计分析估计了所提出模型的参数。最后,与现有的拟合模型相比,该模型具有更高的效率和更高的精度。

著录项

  • 来源
    《Applied Mathematical Modelling》 |2016年第14期|6501-6508|共8页
  • 作者

    Wenyi Zeng; Yibin Zhao; Qian Yin;

  • 作者单位

    College of Information Science and Technology, Beijing Normal University, Beijing 100875, PR China;

    College of Information Science and Technology, Beijing Normal University, Beijing 100875, PR China,Department of Basic Courses, Institute of Disaster Prevention, Langfang 065201, PR China;

    College of Information Science and Technology, Beijing Normal University, Beijing 100875, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Fuzzy set; Fuzzy inference; Earthquake magnitude; Depth of hypocenter; Epicentral intensity;

    机译:模糊集;模糊推理;地震震级;震源深度;震中强度;

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