2000 年 15 巻 1 号 p. 57-60
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.