Simulated annealing for earthquake location
Earthquake location is one of the most basic tasks of seismology research such as earthquake monitoring and earthquake prediction. Identification of earthquake location with high efficiency and accuracy is of great significance to the development of works of earthquake prevention and mitigation. In...
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Gespeichert in:
| Autor*in: |
Xiaohan Li [verfasserIn] Guangke Li [verfasserIn] Dawei Jiao [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Chinesisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: 地震科学进展 - Editorial Office of Progress in Earthquake Sciences, 2023, 51(2021), 5, Seite 223-229 |
|---|---|
| Übergeordnetes Werk: |
volume:51 ; year:2021 ; number:5 ; pages:223-229 |
| Links: |
|---|
| DOI / URN: |
10.3969/j.issn.2096-7780.2021.05.004 |
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DOAJ087475006 |
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| 520 | |a Earthquake location is one of the most basic tasks of seismology research such as earthquake monitoring and earthquake prediction. Identification of earthquake location with high efficiency and accuracy is of great significance to the development of works of earthquake prevention and mitigation. In this paper，we invert the earthquake location by simulated annealing algorithm. And then，we change the initial temperature，temperature threshold，cooling-rate，convergence threshold，and disturbance mode respectively to find their influence on the result of simulated annealing algorithm. At last，we summarize and analyze the advantages and disadvantages of simulated annealing algorithm. | ||
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Earthquake location is one of the most basic tasks of seismology research such as earthquake monitoring and earthquake prediction. Identification of earthquake location with high efficiency and accuracy is of great significance to the development of works of earthquake prevention and mitigation. In this paper，we invert the earthquake location by simulated annealing algorithm. And then，we change the initial temperature，temperature threshold，cooling-rate，convergence threshold，and disturbance mode respectively to find their influence on the result of simulated annealing algorithm. At last，we summarize and analyze the advantages and disadvantages of simulated annealing algorithm. |
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Earthquake location is one of the most basic tasks of seismology research such as earthquake monitoring and earthquake prediction. Identification of earthquake location with high efficiency and accuracy is of great significance to the development of works of earthquake prevention and mitigation. In this paper，we invert the earthquake location by simulated annealing algorithm. And then，we change the initial temperature，temperature threshold，cooling-rate，convergence threshold，and disturbance mode respectively to find their influence on the result of simulated annealing algorithm. At last，we summarize and analyze the advantages and disadvantages of simulated annealing algorithm. |
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Earthquake location is one of the most basic tasks of seismology research such as earthquake monitoring and earthquake prediction. Identification of earthquake location with high efficiency and accuracy is of great significance to the development of works of earthquake prevention and mitigation. In this paper，we invert the earthquake location by simulated annealing algorithm. And then，we change the initial temperature，temperature threshold，cooling-rate，convergence threshold，and disturbance mode respectively to find their influence on the result of simulated annealing algorithm. At last，we summarize and analyze the advantages and disadvantages of simulated annealing algorithm. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ087475006</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503013230.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230331s2021 xx |||||o 00| ||chi c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3969/j.issn.2096-7780.2021.05.004</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ087475006</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJfe29df8618b44ecb8b9f32cc7357c080</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">chi</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QE1-996.5</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TA1-2040</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Xiaohan Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Simulated annealing for earthquake location</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Earthquake location is one of the most basic tasks of seismology research such as earthquake monitoring and earthquake prediction. Identification of earthquake location with high efficiency and accuracy is of great significance to the development of works of earthquake prevention and mitigation. In this paper，we invert the earthquake location by simulated annealing algorithm. And then，we change the initial temperature，temperature threshold，cooling-rate，convergence threshold，and disturbance mode respectively to find their influence on the result of simulated annealing algorithm. 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