WANG BIQUAN, WANG CHUNZHEN. 1988: AN IMPROVEMENT ON THE CONSECUTIVE HAMMING METHOD AND ITS APPLICATION TO DECIDING THE EARTHQUAKE-PRONE REGIONS. Acta Seismologica Sinica, 10(2): 113-123.
Citation: WANG BIQUAN, WANG CHUNZHEN. 1988: AN IMPROVEMENT ON THE CONSECUTIVE HAMMING METHOD AND ITS APPLICATION TO DECIDING THE EARTHQUAKE-PRONE REGIONS. Acta Seismologica Sinica, 10(2): 113-123.

AN IMPROVEMENT ON THE CONSECUTIVE HAMMING METHOD AND ITS APPLICATION TO DECIDING THE EARTHQUAKE-PRONE REGIONS

More Information
  • Published Date: September 01, 2011
  • In this paper we propose a pattern recognition method, the improved consecutive Hamming method (ICHAM). It ameliorates the Hamming Method using consecutive data in two aspects: (1) considering the more general case, we compute the Hamming kernel using samples which belong to the class of small variance; (2) The algorithm computing the Hamming Kernel is improved so that it locates in the center of the class that the variance is small.An example, deciding the earthquake-prone regions of Beijing and its vicinity by the ICHAM method is shown in this paper. The results show that the effect of our ICHAM method is better than that of both the binary Hamming method and the original consecutive Hamming method. Tests show that the results are more stable.
  • [1] Gelfand I. M., Sh. A. Guherman, M. L. Izvekova, V. I. Keilis——Borok and E.a. Ranzman, Criteria of High Seismicity, Determined by Pattern Recognition, Teczonophysics, 1972, 13,415——422.

    [2] Gelfand I. M., Sh. A. Guberman, V. I. Keilis——Borok, L. Knopoff, F. Press, E. Ya. Ranzman,I. M. Rotwain and A. M. Sadovsky, Pattern Recognition Applied to Earthquake Epicenters to California, Physics of the Earth and Planetary lnteriorse, 1976, 11, 277——283.

    [3] Гвишнани А. Д., В. Г. Кособков, К. Обоснованию, Результав Прогноза Мест силъних Землегрясений, Полученных Методами Раслознавания, Фuзuка Землц, 1981, 2, 2l——35.

    [4] 王碧泉、杨锦英、王春珍,大震前地震活动的图象识别,地震学报,1982,4,105——115,

    [5] 王碧泉、马秀芳,用模式识别方法研究强震发生的动力因子,地震学报,1983,5,257——267,

    [6] 王碧泉、陈祖荫、王春珍,用聚类分析法研究强震的孕震过程,地震学报,1984 ,6,121——128,

    [7] 王碧泉、陈祖荫、童国榜、王春珍,研究强震孕震过程的几种有序集群方法,地震学报,1986,5,113——126,

    [8] Wang Biquan, Chen Zuyint Ma Xiufang, A Nonparametric Clustering Method for the Order Samples and its Application, Proceedings of Seven lnternational Conference on Pattern Recognition, 566——568, 1984, Montreal, Canada.

    [9] 陈祖荫、王碧泉、范丰、王斌,强震孕震过程中的特征选择,地球物理学报,1985,28,588——598,

    [10] 马秀芳、王春珍、王碧泉,用核式识别方法确定北京及其邻近地区易发生地震的地点,地震学报,1985, 7,374——384,

    [11] 吕宏伯、聂金宗、陈祖荫、马秀芳、王碧泉,Hamming分类方法的改进及其在地震危险区划中的应用,地震学报,1986,8,增刊, 143——153 ,

    [12] 聂金宗、吕宏伯、陈祖荫,用于发震地点预报的一种非参数模式分类器,北京工业大学学报,1986, 12, 103——110

    [1] Gelfand I. M., Sh. A. Guherman, M. L. Izvekova, V. I. Keilis——Borok and E.a. Ranzman, Criteria of High Seismicity, Determined by Pattern Recognition, Teczonophysics, 1972, 13,415——422.

    [2] Gelfand I. M., Sh. A. Guberman, V. I. Keilis——Borok, L. Knopoff, F. Press, E. Ya. Ranzman,I. M. Rotwain and A. M. Sadovsky, Pattern Recognition Applied to Earthquake Epicenters to California, Physics of the Earth and Planetary lnteriorse, 1976, 11, 277——283.

    [3] Гвишнани А. Д., В. Г. Кособков, К. Обоснованию, Результав Прогноза Мест силъних Землегрясений, Полученных Методами Раслознавания, Фuзuка Землц, 1981, 2, 2l——35.

    [4] 王碧泉、杨锦英、王春珍,大震前地震活动的图象识别,地震学报,1982,4,105——115,

    [5] 王碧泉、马秀芳,用模式识别方法研究强震发生的动力因子,地震学报,1983,5,257——267,

    [6] 王碧泉、陈祖荫、王春珍,用聚类分析法研究强震的孕震过程,地震学报,1984 ,6,121——128,

    [7] 王碧泉、陈祖荫、童国榜、王春珍,研究强震孕震过程的几种有序集群方法,地震学报,1986,5,113——126,

    [8] Wang Biquan, Chen Zuyint Ma Xiufang, A Nonparametric Clustering Method for the Order Samples and its Application, Proceedings of Seven lnternational Conference on Pattern Recognition, 566——568, 1984, Montreal, Canada.

    [9] 陈祖荫、王碧泉、范丰、王斌,强震孕震过程中的特征选择,地球物理学报,1985,28,588——598,

    [10] 马秀芳、王春珍、王碧泉,用核式识别方法确定北京及其邻近地区易发生地震的地点,地震学报,1985, 7,374——384,

    [11] 吕宏伯、聂金宗、陈祖荫、马秀芳、王碧泉,Hamming分类方法的改进及其在地震危险区划中的应用,地震学报,1986,8,增刊, 143——153 ,

    [12] 聂金宗、吕宏伯、陈祖荫,用于发震地点预报的一种非参数模式分类器,北京工业大学学报,1986, 12, 103——110
  • Related Articles

Catalog

    Article views (1109) PDF downloads (61) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return