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Applying artificial neural networks to achieve quantitative division of potential focal regions

Applying artificial neural networks to achieve quantitative division of potential focal regions
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摘要 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. 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.
出处 《Acta Seismologica Sinica(English Edition)》 CSCD 1994年第4期645-652,共8页
关键词 neural network potential focal region quantitative division neural network, potential focal region, quantitative division
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