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震后震型早期判定的人工神经网络方法
引用本文:杨仕升.震后震型早期判定的人工神经网络方法[J].华南地震,1997,17(4):42-47.
作者姓名:杨仕升
作者单位:广西地震局!南宁,530022
摘    要:应用人工神经网络的方法,利用30次强震震后1天和2天内的地震资料作为学习样本,对广西及其邻区发生的4次地震的震型作了早期预测判定,结果表明应用效果较好,正确率达75%。该方法值得进一步研究。

关 键 词:地震类型  早期判定  人工神经网络  地震预报

ARTIFICIAL NEURAL NETWORK METHOD EARLY TO JUDGE THE TYPE OF SEISMIC SEQUENCE
Yang Shisheng.ARTIFICIAL NEURAL NETWORK METHOD EARLY TO JUDGE THE TYPE OF SEISMIC SEQUENCE[J].South China Journal of Seismology,1997,17(4):42-47.
Authors:Yang Shisheng
Abstract:Based on the data in one day and two days ther thirty strong earthquakes had occurred, four types of seismic sequence are judged early in Guangxi and its neighbouring region using the artificial neural network method. The results show that the effectiveness of this method is good and the correct rate 75 percent. Thus the method should be well worth to study forther.
Keywords:Seismic sequence type  Early judgement  Artificial neural network method
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