Elastic neural net for the earthquake epicenter search
Automatic processing of seismic data is today a key element in the efforts to achieve high quality seismic systems. Automated procedures for locating seismic events with a network including arrays and single element seismometers usually incorporate back-azimuth estimates, arrival-time data, and asso...
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| Format: | Article |
| Language: | English |
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Wiley
2002-01-01
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| Series: | Discrete Dynamics in Nature and Society |
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| Online Access: | http://dx.doi.org/10.1080/10260220290013453 |
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| _version_ | 1832561242285277184 |
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| author | I. Antoniou V. V. Ivanov I. V. Kisel |
| author_facet | I. Antoniou V. V. Ivanov I. V. Kisel |
| author_sort | I. Antoniou |
| collection | DOAJ |
| description | Automatic processing of seismic data is today a key element in the efforts to achieve high quality seismic systems. Automated procedures for locating seismic events with a network including arrays and single element seismometers usually incorporate back-azimuth estimates, arrival-time data, and associated uncertainties into a least-squares-inverse location algorithm. Such an algorithm is quite cumbersome and requires expanding a set of non-linear equations in a Taylor series. Second-order terms usually not included in the algorithm can be important if the initial estimate is far from the solution. |
| format | Article |
| id | doaj-art-b83d8e30b5bb44e2b3f855d229ca3f24 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2002-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-b83d8e30b5bb44e2b3f855d229ca3f242025-02-03T01:25:32ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2002-01-01711510.1080/10260220290013453Elastic neural net for the earthquake epicenter searchI. Antoniou0V. V. Ivanov1I. V. Kisel2lnternational Solvay Institutes for Physics and Chemistry, CP-231, ULB, Bd. du Triomphe, Brussels 1050, Belgiumlnternational Solvay Institutes for Physics and Chemistry, CP-231, ULB, Bd. du Triomphe, Brussels 1050, BelgiumJoint Institute for Nuclear Research, Dubna 141980, RussiaAutomatic processing of seismic data is today a key element in the efforts to achieve high quality seismic systems. Automated procedures for locating seismic events with a network including arrays and single element seismometers usually incorporate back-azimuth estimates, arrival-time data, and associated uncertainties into a least-squares-inverse location algorithm. Such an algorithm is quite cumbersome and requires expanding a set of non-linear equations in a Taylor series. Second-order terms usually not included in the algorithm can be important if the initial estimate is far from the solution.http://dx.doi.org/10.1080/10260220290013453International data centers; Elastic net; Seismic event; Epicenter. |
| spellingShingle | I. Antoniou V. V. Ivanov I. V. Kisel Elastic neural net for the earthquake epicenter search Discrete Dynamics in Nature and Society International data centers; Elastic net; Seismic event; Epicenter. |
| title | Elastic neural net for the earthquake epicenter search |
| title_full | Elastic neural net for the earthquake epicenter search |
| title_fullStr | Elastic neural net for the earthquake epicenter search |
| title_full_unstemmed | Elastic neural net for the earthquake epicenter search |
| title_short | Elastic neural net for the earthquake epicenter search |
| title_sort | elastic neural net for the earthquake epicenter search |
| topic | International data centers; Elastic net; Seismic event; Epicenter. |
| url | http://dx.doi.org/10.1080/10260220290013453 |
| work_keys_str_mv | AT iantoniou elasticneuralnetfortheearthquakeepicentersearch AT vvivanov elasticneuralnetfortheearthquakeepicentersearch AT ivkisel elasticneuralnetfortheearthquakeepicentersearch |