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自组织人工神经网络在地震综合预报中的应用

APPLICATION OF THE SELF-ORGANIZATION ARTIFICIAL NEURAL NETWORK APPROACH IN SYNTHETIC PREDICTION OF EARTHQUAKES

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【作者】 蔡煜东杨兵孙虹

【Author】 Cai Yudong; Yang Bin; Sun Hong(Shanghai Institue of Metallurgy, Academia Sinica)

【机构】 中国科学院上海冶金研究所

【摘要】 本文运用T.Kohonen自组织人工神经网络进行地震综合预报,以云南多震区──滇西南地震区为例进行实际判别计算。预测成功率较高。结果表明,神经网络方法性能较好,可望成为地震实际预报的一种有效的辅助手段。

【Abstract】 The application of T. Kohonen’s self-organization artificial neural network to synthetic prediction of earthquakes had not been reported before. And an area strucked by In this paper the frequent earthquake area in Yannan Province, i. e. , the southwestern Yunnan seismic zone was selected as an example to use this method for practical distinguishing calculation.The successful rate is high.The results indicated that the performance of the neural network approach is good, and therefore it might be referred as an effective assistant technique for synthetic prediction of earthquakes.

  • 【文献出处】 中国地质灾害与防治学报 ,THE CHINESE JOURNAL OF GEOLOGICAL HAZARD AND CONTROL , 编辑部邮箱 ,1994年01期
  • 【分类号】P315.7
  • 【被引频次】2
  • 【下载频次】50
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