| Applying artificial neural networks to achieve quantitative division of potential focal regions |
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| 引用本文： | 姜效典,张维岗.Applying artificial neural networks to achieve quantitative division of potential focal regions[J].地震学报(英文版),1994,7(4):645-652. |
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| 作者姓名： | 姜效典 张维岗 |
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| 作者单位： | Ocean University of Qingdao，Qingdao 266003，China |
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| 摘 要： | （姜效典，张维岗）Ａｐｐｌｙｉｎｇａｒｔｉｆｉｃｉａｌｎｅｕｒａｌｎｅｔｗｏｒｋｓｔｏａｃｈｉｅｖｅｑｕａｎｔｉｔａｔｉｖｅｄｉｖｉｓｉｏｎｏｆｐｏｔｅｎｔｉａｌｆｏｃａｌｒｅｇｉｏｎｓ￥Ｘｉａｏ－ＤｉａｎＪＩＡＮＧａｎｄＷｅｉ－ＧａｎｇＺＨＡＮＧ（...
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| 收稿时间： | 17 July 1993 |
| 修稿时间： | 7 June 1994 |
Applying artificial neural networks to achieve quantitative division of potential focal regions |
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| Xiao-Dian Jiang and Wei-Gang Zhang.Applying artificial neural networks to achieve quantitative division of potential focal regions[J].Acta Seismologica Sinica(English Edition),1994,7(4):645-652. |
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| Authors: | Xiao-Dian Jiang and Wei-Gang Zhang |
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| Institution: | (1) Ocean University of Qingdao, 266003 Qingdao, China |
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| Abstract: | There are put forward in this paper the principle of using artificial neural networks to determine the featureswhich reflect seismotectonics and seismicity of the potential focal regions and the method to divide quantitativelythe potential focal regions. The calculation of the actual data of North China area shows that it may fully reveal the relations between the potential focal regions and their controling characteristics by the method, of which the principle is concise and convenient to apply, the calculated results reasonable, the division in a meticulous way and the achievement practicable. |
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| Keywords: | neural network potential focal region quantitative division |
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