首页> 外文会议>International Conference on Geoinformatics: Theoretical and Applied Aspects >Neural network model field of the time of the first entrances of seismic waves of Ukraine
【24h】

Neural network model field of the time of the first entrances of seismic waves of Ukraine

机译:乌克兰地震波第一个入口的神经网络模型领域

获取原文
获取外文期刊封面目录资料

摘要

It is proposed to use the seismic data of the DSS on the territory of Ukraine to build neural network models of the seismic signal arrival times field, which allows the construction of longitudinal wave hodographs along arbitrarily oriented profiles in regions where do not have seismic observations. Also this possible use to correct the velocity section using one from methods of the inversion of hodograph. A comparison is made of simulated arrival times of longitudinal waves with those that were recorded on the territory of Ukraine. Parallels have been made between the modeling of the time field from meridional and latitudinal sources with the propagation of stresses, which external indenters create on the territory of Ukraine. At the same time, regional fault zones were reflected in the residuals of the time field. This shows that the artificial field of time, modeled by the neural network, is reflected in the real tectonic division of the territory of Ukraine.
机译:建议使用乌克兰境内DSS的地震数据来构建地震信号到达时乘以领域的神经网络模型,这允许沿着在没有地震观测的区域中的任意取向曲线的纵向波形曲线仪构造。此外,这也可以使用单词反转方法校正速度部分。比较由模拟纵向波浪的模拟到达时间与乌克兰境内记录的那些。在经络和纬度来源的时间领域的建模之间进行了平行,随着应力的传播,外部压头在乌克兰的境地创造。与此同时,区域断层区反映在时间字段的残差中。这表明由神经网络建模的人造时间域被反映在乌克兰境内的真实构造划分。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号