Earthquake Prediction Learning Using the Least Alarm Method
An approach to organization of a system for automatic earthquake prediction is developed. This approach is not bound to any particular type of data, and all data on seismotectonic processes are displayed using the spatial and space-time fields. The prediction field is learned from the feature fields...
Gespeichert in:
| Veröffentlicht in: | Journal of communications technology & electronics 2018-06, Vol.63 (6), p.680-690 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 690 |
|---|---|
| container_issue | 6 |
| container_start_page | 680 |
| container_title | Journal of communications technology & electronics |
| container_volume | 63 |
| creator | Gitis, V. G. Derendyaev, A. B. |
| description | An approach to organization of a system for automatic earthquake prediction is developed. This approach is not bound to any particular type of data, and all data on seismotectonic processes are displayed using the spatial and space-time fields. The prediction field is learned from the feature fields and the sample of predicted earthquakes. The learning method proposed here is the least alarm method. The results of modeling of earthquake prediction for the regions of Japan and Mediterranean are presented. Modeling implied the analysis of prediction fields reflecting stationary and dynamic properties of the seismic process. The results of modeling demonstrate the efficiency of application of the least alarm method to earthquake prediction. |
| doi_str_mv | 10.1134/S1064226918060086 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2064092358</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A548321707</galeid><sourcerecordid>A548321707</sourcerecordid><originalsourceid>FETCH-LOGICAL-c378t-45f676cb85fe21bce50d254091a73210f1a255b7ae330de1392fbb501ded66813</originalsourceid><addsrcrecordid>eNp1kd9LwzAQgIsoOKd_gG8FnwQ786NJW3waY-pgojj3HNL20mVu7ZakoP-9KRV0iAQu4e77clwSBJcYjTCm8e0CIx4TwjOcIo5Qyo-CAWaMRZyx5NiffTnq6qfBmbVrhGjGER0Ed1Np3GrfyncIXwyUunC6qcM5SFPrugqXtotuBV3KunC8kWYbPoFbNeV5cKLkxsLF9z4MlvfTt8ljNH9-mE3G86igSeqimCme8CJPmQKC8wIYKgmLUYZlQglGCkvCWJ5IoBSVgGlGVJ4zhEsoOU8xHQZX_b070-xbsE6sm9bUvqUgfiyUEcpST416qpIbELpWjTOy8KuErS6aGpT2-TGLU980QYkXrg8Ezzj4cJVsrRWzxeshe_OLzVv_KmB9sLpaOdsrBzju8cI01hpQYmf0VppPgZHo_kv8-S_vkN6xnq0rMD9T_i99Ae3hk2k</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2064092358</pqid></control><display><type>article</type><title>Earthquake Prediction Learning Using the Least Alarm Method</title><source>SpringerLink Journals</source><creator>Gitis, V. G. ; Derendyaev, A. B.</creator><creatorcontrib>Gitis, V. G. ; Derendyaev, A. B.</creatorcontrib><description>An approach to organization of a system for automatic earthquake prediction is developed. This approach is not bound to any particular type of data, and all data on seismotectonic processes are displayed using the spatial and space-time fields. The prediction field is learned from the feature fields and the sample of predicted earthquakes. The learning method proposed here is the least alarm method. The results of modeling of earthquake prediction for the regions of Japan and Mediterranean are presented. Modeling implied the analysis of prediction fields reflecting stationary and dynamic properties of the seismic process. The results of modeling demonstrate the efficiency of application of the least alarm method to earthquake prediction.</description><identifier>ISSN: 1064-2269</identifier><identifier>EISSN: 1555-6557</identifier><identifier>DOI: 10.1134/S1064226918060086</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Alarm systems ; Analysis ; Communications Engineering ; Cybernetics ; Earthquake prediction ; Earthquakes ; Engineering ; Geoinformation Technologies ; Mathematical models ; Methods ; Modelling ; Networks ; Seismology</subject><ispartof>Journal of communications technology & electronics, 2018-06, Vol.63 (6), p.680-690</ispartof><rights>Pleiades Publishing, Inc. 2018</rights><rights>COPYRIGHT 2018 Springer</rights><rights>Journal of Communications Technology and Electronics is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c378t-45f676cb85fe21bce50d254091a73210f1a255b7ae330de1392fbb501ded66813</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1134/S1064226918060086$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1134/S1064226918060086$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Gitis, V. G.</creatorcontrib><creatorcontrib>Derendyaev, A. B.</creatorcontrib><title>Earthquake Prediction Learning Using the Least Alarm Method</title><title>Journal of communications technology & electronics</title><addtitle>J. Commun. Technol. Electron</addtitle><description>An approach to organization of a system for automatic earthquake prediction is developed. This approach is not bound to any particular type of data, and all data on seismotectonic processes are displayed using the spatial and space-time fields. The prediction field is learned from the feature fields and the sample of predicted earthquakes. The learning method proposed here is the least alarm method. The results of modeling of earthquake prediction for the regions of Japan and Mediterranean are presented. Modeling implied the analysis of prediction fields reflecting stationary and dynamic properties of the seismic process. The results of modeling demonstrate the efficiency of application of the least alarm method to earthquake prediction.</description><subject>Alarm systems</subject><subject>Analysis</subject><subject>Communications Engineering</subject><subject>Cybernetics</subject><subject>Earthquake prediction</subject><subject>Earthquakes</subject><subject>Engineering</subject><subject>Geoinformation Technologies</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Modelling</subject><subject>Networks</subject><subject>Seismology</subject><issn>1064-2269</issn><issn>1555-6557</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kd9LwzAQgIsoOKd_gG8FnwQ786NJW3waY-pgojj3HNL20mVu7ZakoP-9KRV0iAQu4e77clwSBJcYjTCm8e0CIx4TwjOcIo5Qyo-CAWaMRZyx5NiffTnq6qfBmbVrhGjGER0Ed1Np3GrfyncIXwyUunC6qcM5SFPrugqXtotuBV3KunC8kWYbPoFbNeV5cKLkxsLF9z4MlvfTt8ljNH9-mE3G86igSeqimCme8CJPmQKC8wIYKgmLUYZlQglGCkvCWJ5IoBSVgGlGVJ4zhEsoOU8xHQZX_b070-xbsE6sm9bUvqUgfiyUEcpST416qpIbELpWjTOy8KuErS6aGpT2-TGLU980QYkXrg8Ezzj4cJVsrRWzxeshe_OLzVv_KmB9sLpaOdsrBzju8cI01hpQYmf0VppPgZHo_kv8-S_vkN6xnq0rMD9T_i99Ae3hk2k</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Gitis, V. G.</creator><creator>Derendyaev, A. B.</creator><general>Pleiades Publishing</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>XI7</scope><scope>ISR</scope><scope>3V.</scope><scope>7SP</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>88K</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L7M</scope><scope>M0C</scope><scope>M2P</scope><scope>M2T</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>20180601</creationdate><title>Earthquake Prediction Learning Using the Least Alarm Method</title><author>Gitis, V. G. ; Derendyaev, A. B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c378t-45f676cb85fe21bce50d254091a73210f1a255b7ae330de1392fbb501ded66813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Alarm systems</topic><topic>Analysis</topic><topic>Communications Engineering</topic><topic>Cybernetics</topic><topic>Earthquake prediction</topic><topic>Earthquakes</topic><topic>Engineering</topic><topic>Geoinformation Technologies</topic><topic>Mathematical models</topic><topic>Methods</topic><topic>Modelling</topic><topic>Networks</topic><topic>Seismology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gitis, V. G.</creatorcontrib><creatorcontrib>Derendyaev, A. B.</creatorcontrib><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Electronics & Communications Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Telecommunications (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ABI/INFORM Global</collection><collection>Science Database</collection><collection>Telecommunications Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of communications technology & electronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gitis, V. G.</au><au>Derendyaev, A. B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Earthquake Prediction Learning Using the Least Alarm Method</atitle><jtitle>Journal of communications technology & electronics</jtitle><stitle>J. Commun. Technol. Electron</stitle><date>2018-06-01</date><risdate>2018</risdate><volume>63</volume><issue>6</issue><spage>680</spage><epage>690</epage><pages>680-690</pages><issn>1064-2269</issn><eissn>1555-6557</eissn><abstract>An approach to organization of a system for automatic earthquake prediction is developed. This approach is not bound to any particular type of data, and all data on seismotectonic processes are displayed using the spatial and space-time fields. The prediction field is learned from the feature fields and the sample of predicted earthquakes. The learning method proposed here is the least alarm method. The results of modeling of earthquake prediction for the regions of Japan and Mediterranean are presented. Modeling implied the analysis of prediction fields reflecting stationary and dynamic properties of the seismic process. The results of modeling demonstrate the efficiency of application of the least alarm method to earthquake prediction.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.1134/S1064226918060086</doi><tpages>11</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1064-2269 |
| ispartof | Journal of communications technology & electronics, 2018-06, Vol.63 (6), p.680-690 |
| issn | 1064-2269 1555-6557 |
| language | eng |
| recordid | cdi_proquest_journals_2064092358 |
| source | SpringerLink Journals |
| subjects | Alarm systems Analysis Communications Engineering Cybernetics Earthquake prediction Earthquakes Engineering Geoinformation Technologies Mathematical models Methods Modelling Networks Seismology |
| title | Earthquake Prediction Learning Using the Least Alarm Method |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T05%3A42%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Earthquake%20Prediction%20Learning%20Using%20the%20Least%20Alarm%20Method&rft.jtitle=Journal%20of%20communications%20technology%20&%20electronics&rft.au=Gitis,%20V.%20G.&rft.date=2018-06-01&rft.volume=63&rft.issue=6&rft.spage=680&rft.epage=690&rft.pages=680-690&rft.issn=1064-2269&rft.eissn=1555-6557&rft_id=info:doi/10.1134/S1064226918060086&rft_dat=%3Cgale_proqu%3EA548321707%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2064092358&rft_id=info:pmid/&rft_galeid=A548321707&rfr_iscdi=true |