Determination of seismic wave velocities on the ground using artificial neural networks
Objective. The purpose of the study is to determine the velocities of seismic waves on the ground.Method. To determine the velocities of seismic waves in different parts of the earth's crust, using a sample obtained by mathematical modeling, an artificial neural network was trained. Using at th...
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| Format: | Article |
| Language: | Russian |
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Dagestan State Technical University
2022-08-01
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| Series: | Вестник Дагестанского государственного технического университета: Технические науки |
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| Online Access: | https://vestnik.dgtu.ru/jour/article/view/1082 |
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| _version_ | 1849410163921911808 |
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| author | Yu. A. Sidorkina T. G. Aslanov H. D. Magomedov |
| author_facet | Yu. A. Sidorkina T. G. Aslanov H. D. Magomedov |
| author_sort | Yu. A. Sidorkina |
| collection | DOAJ |
| description | Objective. The purpose of the study is to determine the velocities of seismic waves on the ground.Method. To determine the velocities of seismic waves in different parts of the earth's crust, using a sample obtained by mathematical modeling, an artificial neural network was trained. Using at the input of the trained neural network, the real values of the differences in the times of arrival of seismic waves on the ground, we obtain at its output the values of the velocities of seismic waves on the ground.Result. A method for determining the velocities of seismic waves on the ground using artificial neural networks is proposed. Dependences of the root-mean-square error in determining the velocities of seismic waves on the ground on the training epoch, as well as the distribution of errors in determining the coordinates of the earthquake hypocenter using the obtained information about the structure of the earth, are obtained.Conclusion. The proposed method makes it possible to determine the structure of the earth's crust more accurately than previously proposed mathematical methods. |
| format | Article |
| id | doaj-art-62a7ca09d10143de9e15b8799962bddc |
| institution | Kabale University |
| issn | 2073-6185 2542-095X |
| language | Russian |
| publishDate | 2022-08-01 |
| publisher | Dagestan State Technical University |
| record_format | Article |
| series | Вестник Дагестанского государственного технического университета: Технические науки |
| spelling | doaj-art-62a7ca09d10143de9e15b8799962bddc2025-08-20T03:35:14ZrusDagestan State Technical UniversityВестник Дагестанского государственного технического университета: Технические науки2073-61852542-095X2022-08-01492677510.21822/2073-6185-2022-49-2-67-75699Determination of seismic wave velocities on the ground using artificial neural networksYu. A. Sidorkina0T. G. Aslanov1H. D. Magomedov2N.E. Bauman Moscow State Technical University (National research University)Daghestan State Technical UniversityDaghestan Branch of the Federal Research Center "Unified Geophysical Service" of the Russian Academy of SciencesObjective. The purpose of the study is to determine the velocities of seismic waves on the ground.Method. To determine the velocities of seismic waves in different parts of the earth's crust, using a sample obtained by mathematical modeling, an artificial neural network was trained. Using at the input of the trained neural network, the real values of the differences in the times of arrival of seismic waves on the ground, we obtain at its output the values of the velocities of seismic waves on the ground.Result. A method for determining the velocities of seismic waves on the ground using artificial neural networks is proposed. Dependences of the root-mean-square error in determining the velocities of seismic waves on the ground on the training epoch, as well as the distribution of errors in determining the coordinates of the earthquake hypocenter using the obtained information about the structure of the earth, are obtained.Conclusion. The proposed method makes it possible to determine the structure of the earth's crust more accurately than previously proposed mathematical methods.https://vestnik.dgtu.ru/jour/article/view/1082neural networkseismic wave velocitiessnell's lawseismologyseismic sensor |
| spellingShingle | Yu. A. Sidorkina T. G. Aslanov H. D. Magomedov Determination of seismic wave velocities on the ground using artificial neural networks Вестник Дагестанского государственного технического университета: Технические науки neural network seismic wave velocities snell's law seismology seismic sensor |
| title | Determination of seismic wave velocities on the ground using artificial neural networks |
| title_full | Determination of seismic wave velocities on the ground using artificial neural networks |
| title_fullStr | Determination of seismic wave velocities on the ground using artificial neural networks |
| title_full_unstemmed | Determination of seismic wave velocities on the ground using artificial neural networks |
| title_short | Determination of seismic wave velocities on the ground using artificial neural networks |
| title_sort | determination of seismic wave velocities on the ground using artificial neural networks |
| topic | neural network seismic wave velocities snell's law seismology seismic sensor |
| url | https://vestnik.dgtu.ru/jour/article/view/1082 |
| work_keys_str_mv | AT yuasidorkina determinationofseismicwavevelocitiesonthegroundusingartificialneuralnetworks AT tgaslanov determinationofseismicwavevelocitiesonthegroundusingartificialneuralnetworks AT hdmagomedov determinationofseismicwavevelocitiesonthegroundusingartificialneuralnetworks |