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| | Abstract | | Traveltime tomography is widely used as a method of estimating subsurfacd structure. However, accuracy of traditional traveltime tomography falls on the situation because measuring instruments can't be set up underground. Also, many researchers in various fields are doing research using neural network. In those papers, they obtained very precise solution in the case of unbalanced distribution of data. So, we have developed traveltime tomography by use of neural network and evaluated applicability by numerical experiment. As a result, we can estimate the ground structure with good accuracy. |
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