人工知能
Online ISSN : 2435-8614
Print ISSN : 2188-2266
人工知能学会誌(1986~2013, Print ISSN:0912-8085)
地震履歴データマイニングによる危険断層の (近未来チャレンジ)
大澤 幸生
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解説誌・一般情報誌 フリー

2000 年 15 巻 1 号 p. 57-60

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Focusing on areas with the highest risk of future earthquakes is important, especially if the technique is simple enough to be adopted to existing electronic data bases. By trenching survey, i.e., digging the land surface for observing underground evidences of past earthquakes, we can approximately estimate long we have before the next earthquake - an inefficient and expensive approach. An intelligent data-mining for focusing attention to risky active faults will help in achieving a less expensive and more efficient predictions of earthquakes. From the viewpoint of artificial intelligence, this is an essential challenge of having a simple computing algorithm for solving a complex problem as estimating the risks at faults.

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© 2000 人工知能学会
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