Choice of optimal configuration of neuron net in case of modeling the travel-time curves of seismic waves and estimation of adequacy of the model to real situations
The choice of the optimal neural net topology is performed for seismic phase onset simulation. Based on «Odessa» seismic station earthquake signal records excited by the sources of the Black Sea region the reliability of model outputs, operation stability related to source distribution density and s...
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| Format: | Article |
| Language: | English |
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Subbotin Institute of Geophysics of the National Academy of Sciences of Ukraine
2012-04-01
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| Series: | Геофизический журнал |
| Online Access: | https://journals.uran.ua/geofizicheskiy/article/view/116616 |
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| _version_ | 1839649394991824896 |
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| author | O. A. Gerasimenko |
| author_facet | O. A. Gerasimenko |
| author_sort | O. A. Gerasimenko |
| collection | DOAJ |
| description | The choice of the optimal neural net topology is performed for seismic phase onset simulation. Based on «Odessa» seismic station earthquake signal records excited by the sources of the Black Sea region the reliability of model outputs, operation stability related to source distribution density and seismic radiation flow direction are evaluated. The graphic examples are presented. |
| format | Article |
| id | doaj-art-3f3442dbdb8e4ce6b718004dc27a87d1 |
| institution | Matheson Library |
| issn | 0203-3100 2524-1052 |
| language | English |
| publishDate | 2012-04-01 |
| publisher | Subbotin Institute of Geophysics of the National Academy of Sciences of Ukraine |
| record_format | Article |
| series | Геофизический журнал |
| spelling | doaj-art-3f3442dbdb8e4ce6b718004dc27a87d12025-06-27T10:14:38ZengSubbotin Institute of Geophysics of the National Academy of Sciences of UkraineГеофизический журнал0203-31002524-10522012-04-0134210.24028/gzh.0203-3100.v34i2.2012.116616Choice of optimal configuration of neuron net in case of modeling the travel-time curves of seismic waves and estimation of adequacy of the model to real situationsO. A. Gerasimenko0Institute of Geophysics of the National Academy of Sciences of UkraineThe choice of the optimal neural net topology is performed for seismic phase onset simulation. Based on «Odessa» seismic station earthquake signal records excited by the sources of the Black Sea region the reliability of model outputs, operation stability related to source distribution density and seismic radiation flow direction are evaluated. The graphic examples are presented.https://journals.uran.ua/geofizicheskiy/article/view/116616 |
| spellingShingle | O. A. Gerasimenko Choice of optimal configuration of neuron net in case of modeling the travel-time curves of seismic waves and estimation of adequacy of the model to real situations Геофизический журнал |
| title | Choice of optimal configuration of neuron net in case of modeling the travel-time curves of seismic waves and estimation of adequacy of the model to real situations |
| title_full | Choice of optimal configuration of neuron net in case of modeling the travel-time curves of seismic waves and estimation of adequacy of the model to real situations |
| title_fullStr | Choice of optimal configuration of neuron net in case of modeling the travel-time curves of seismic waves and estimation of adequacy of the model to real situations |
| title_full_unstemmed | Choice of optimal configuration of neuron net in case of modeling the travel-time curves of seismic waves and estimation of adequacy of the model to real situations |
| title_short | Choice of optimal configuration of neuron net in case of modeling the travel-time curves of seismic waves and estimation of adequacy of the model to real situations |
| title_sort | choice of optimal configuration of neuron net in case of modeling the travel time curves of seismic waves and estimation of adequacy of the model to real situations |
| url | https://journals.uran.ua/geofizicheskiy/article/view/116616 |
| work_keys_str_mv | AT oagerasimenko choiceofoptimalconfigurationofneuronnetincaseofmodelingthetraveltimecurvesofseismicwavesandestimationofadequacyofthemodeltorealsituations |