The neural network technique––2: an ionospheric example illustrating its application
An example of modeling of Near Earth Space Processes by empoying the Neural Network Approach [Tulunay et al., Adv. Space Res., this current issue, 2003] is considered. The temporal and spatial forecasting of ionospheric critical frequency f oF2 values up to 24 h in advance by using the METUNN model...
Gespeichert in:
| Veröffentlicht in: | Advances in space research 2004, Vol.33 (6), p.988-992 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 992 |
|---|---|
| container_issue | 6 |
| container_start_page | 988 |
| container_title | Advances in space research |
| container_volume | 33 |
| creator | Tulunay, Y Tulunay, E Senalp, E.T |
| description | An example of modeling of Near Earth Space Processes by empoying the Neural Network Approach [Tulunay et al., Adv. Space Res., this current issue, 2003] is considered. The temporal and spatial forecasting of ionospheric critical frequency
f
oF2 values up to 24 h in advance by using the METUNN model is briefly covered. |
| doi_str_mv | 10.1016/j.asr.2003.06.015 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1875848779</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0273117703010354</els_id><sourcerecordid>1875848779</sourcerecordid><originalsourceid>FETCH-LOGICAL-c359t-6053fc9177e65cda70cb49b65d5d1458bce99b7b6bf363f5310a8a82679c3bc63</originalsourceid><addsrcrecordid>eNp9kM1KxDAUhYMoOI4-gLuuxE1r0jRJoysZ_IMBNyO4C2l662TstDVJ_dn5Dr6hT2KGcT1w4XDhnMu5H0KnBGcEE36xyrR3WY4xzTDPMGF7aEJKIVMii3IfTXAuaEqIEIfoyPsVxiQXAk_Q82IJSQej022U8NG71ySAWXb2bYTf7584-WWiu8T2Xe-HJThrEvjU66GFxLbt6IPTwXYviQ0-0cPQWhP3vjtGB41uPZz86xQ93d4sZvfp_PHuYXY9Tw1lMqQcM9oYGYsBZ6bWApuqkBVnNatJwcrKgJSVqHjVUE4bRgnWpS5zLqShleF0is63dwfXx8o-qLX1BtpWd9CPXkUIrCxKIWS0nu22Cl7mhaTRSLZG43rvHTRqcHat3ZciWG1wq5WKuNUGt8JcRdwxc7XNQHz23YJT3ljoDNTWgQmq7u2O9B-dQ4rh</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>17682493</pqid></control><display><type>article</type><title>The neural network technique––2: an ionospheric example illustrating its application</title><source>Access via ScienceDirect (Elsevier)</source><creator>Tulunay, Y ; Tulunay, E ; Senalp, E.T</creator><creatorcontrib>Tulunay, Y ; Tulunay, E ; Senalp, E.T</creatorcontrib><description>An example of modeling of Near Earth Space Processes by empoying the Neural Network Approach [Tulunay et al., Adv. Space Res., this current issue, 2003] is considered. The temporal and spatial forecasting of ionospheric critical frequency
f
oF2 values up to 24 h in advance by using the METUNN model is briefly covered.</description><identifier>ISSN: 0273-1177</identifier><identifier>EISSN: 1879-1948</identifier><identifier>DOI: 10.1016/j.asr.2003.06.015</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Ionospheric critical frequency ; Mathematical modelling ; Near-earth space ; Neural network</subject><ispartof>Advances in space research, 2004, Vol.33 (6), p.988-992</ispartof><rights>2003 COSPAR</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-6053fc9177e65cda70cb49b65d5d1458bce99b7b6bf363f5310a8a82679c3bc63</citedby><cites>FETCH-LOGICAL-c359t-6053fc9177e65cda70cb49b65d5d1458bce99b7b6bf363f5310a8a82679c3bc63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.asr.2003.06.015$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,4024,27923,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Tulunay, Y</creatorcontrib><creatorcontrib>Tulunay, E</creatorcontrib><creatorcontrib>Senalp, E.T</creatorcontrib><title>The neural network technique––2: an ionospheric example illustrating its application</title><title>Advances in space research</title><description>An example of modeling of Near Earth Space Processes by empoying the Neural Network Approach [Tulunay et al., Adv. Space Res., this current issue, 2003] is considered. The temporal and spatial forecasting of ionospheric critical frequency
f
oF2 values up to 24 h in advance by using the METUNN model is briefly covered.</description><subject>Ionospheric critical frequency</subject><subject>Mathematical modelling</subject><subject>Near-earth space</subject><subject>Neural network</subject><issn>0273-1177</issn><issn>1879-1948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNp9kM1KxDAUhYMoOI4-gLuuxE1r0jRJoysZ_IMBNyO4C2l662TstDVJ_dn5Dr6hT2KGcT1w4XDhnMu5H0KnBGcEE36xyrR3WY4xzTDPMGF7aEJKIVMii3IfTXAuaEqIEIfoyPsVxiQXAk_Q82IJSQej022U8NG71ySAWXb2bYTf7584-WWiu8T2Xe-HJThrEvjU66GFxLbt6IPTwXYviQ0-0cPQWhP3vjtGB41uPZz86xQ93d4sZvfp_PHuYXY9Tw1lMqQcM9oYGYsBZ6bWApuqkBVnNatJwcrKgJSVqHjVUE4bRgnWpS5zLqShleF0is63dwfXx8o-qLX1BtpWd9CPXkUIrCxKIWS0nu22Cl7mhaTRSLZG43rvHTRqcHat3ZciWG1wq5WKuNUGt8JcRdwxc7XNQHz23YJT3ljoDNTWgQmq7u2O9B-dQ4rh</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Tulunay, Y</creator><creator>Tulunay, E</creator><creator>Senalp, E.T</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>KL.</scope></search><sort><creationdate>2004</creationdate><title>The neural network technique––2: an ionospheric example illustrating its application</title><author>Tulunay, Y ; Tulunay, E ; Senalp, E.T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-6053fc9177e65cda70cb49b65d5d1458bce99b7b6bf363f5310a8a82679c3bc63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Ionospheric critical frequency</topic><topic>Mathematical modelling</topic><topic>Near-earth space</topic><topic>Neural network</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tulunay, Y</creatorcontrib><creatorcontrib>Tulunay, E</creatorcontrib><creatorcontrib>Senalp, E.T</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Advances in space research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tulunay, Y</au><au>Tulunay, E</au><au>Senalp, E.T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The neural network technique––2: an ionospheric example illustrating its application</atitle><jtitle>Advances in space research</jtitle><date>2004</date><risdate>2004</risdate><volume>33</volume><issue>6</issue><spage>988</spage><epage>992</epage><pages>988-992</pages><issn>0273-1177</issn><eissn>1879-1948</eissn><abstract>An example of modeling of Near Earth Space Processes by empoying the Neural Network Approach [Tulunay et al., Adv. Space Res., this current issue, 2003] is considered. The temporal and spatial forecasting of ionospheric critical frequency
f
oF2 values up to 24 h in advance by using the METUNN model is briefly covered.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.asr.2003.06.015</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0273-1177 |
| ispartof | Advances in space research, 2004, Vol.33 (6), p.988-992 |
| issn | 0273-1177 1879-1948 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1875848779 |
| source | Access via ScienceDirect (Elsevier) |
| subjects | Ionospheric critical frequency Mathematical modelling Near-earth space Neural network |
| title | The neural network technique––2: an ionospheric example illustrating its application |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T09%3A52%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20neural%20network%20technique%E2%80%93%E2%80%932:%20an%20ionospheric%20example%20illustrating%20its%20application&rft.jtitle=Advances%20in%20space%20research&rft.au=Tulunay,%20Y&rft.date=2004&rft.volume=33&rft.issue=6&rft.spage=988&rft.epage=992&rft.pages=988-992&rft.issn=0273-1177&rft.eissn=1879-1948&rft_id=info:doi/10.1016/j.asr.2003.06.015&rft_dat=%3Cproquest_cross%3E1875848779%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=17682493&rft_id=info:pmid/&rft_els_id=S0273117703010354&rfr_iscdi=true |