Offshore Drilling Information Model Retrieval Method Based on Improved Campaign Algorithm
Dong, J. and Guan, G., 2020. Offshore drilling information model retrieval method based on improved campaign algorithm. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1072-1077. Coconut Creek (Florida), ISSN 0749-0208. The...
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| Veröffentlicht in: | Journal of coastal research 2020-05, Vol.95 (sp1), p.1072-1077 |
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| creator | Dong, Jiacheng Guan, Gang |
| description | Dong, J. and Guan, G., 2020. Offshore drilling information model retrieval method based on improved campaign algorithm. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1072-1077. Coconut Creek (Florida), ISSN 0749-0208. The offshore drilling information model is complex and diverse, and traditional methods are difficult to accurately and efficiently search. In order to improve the retrieval performance of ARCHI, an offshore drilling information model retrieval method based on improved campaign algorithm is proposed. In the computing architecture information model, the associated data stream information is concentrated on the fuzzy clustering center of the multi-layer space, and the training set is associated with the class to which it belongs. Finally, the optimization is completed. The simulation results show that the proposed algorithm has higher performance in accessing and retrieving associated data when establishing offshore drilling information model. It is superior to traditional model in accurate retrieval and offshore drilling, and has good application value. |
| doi_str_mv | 10.2112/SI95-209.1 |
| format | Article |
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Offshore drilling information model retrieval method based on improved campaign algorithm. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1072-1077. Coconut Creek (Florida), ISSN 0749-0208. The offshore drilling information model is complex and diverse, and traditional methods are difficult to accurately and efficiently search. In order to improve the retrieval performance of ARCHI, an offshore drilling information model retrieval method based on improved campaign algorithm is proposed. In the computing architecture information model, the associated data stream information is concentrated on the fuzzy clustering center of the multi-layer space, and the training set is associated with the class to which it belongs. Finally, the optimization is completed. The simulation results show that the proposed algorithm has higher performance in accessing and retrieving associated data when establishing offshore drilling information model. It is superior to traditional model in accurate retrieval and offshore drilling, and has good application value.</description><identifier>ISSN: 0749-0208</identifier><identifier>EISSN: 1551-5036</identifier><identifier>DOI: 10.2112/SI95-209.1</identifier><language>eng</language><publisher>Fort Lauderdale: Coastal Education and Research Foundation</publisher><subject>Algorithms ; association data ; Campaign algorithm ; Clustering ; Coastal inlets ; Coastal research ; Data transmission ; Drilling ; Information retrieval ; METHODOLOGIES ; Methods ; Multilayers ; Offshore ; Offshore drilling ; Optimization ; retrieval ; the offshore drilling information model</subject><ispartof>Journal of coastal research, 2020-05, Vol.95 (sp1), p.1072-1077</ispartof><rights>Coastal Education and Research Foundation, Inc. 2020</rights><rights>Copyright Allen Press Inc. Spring 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b314t-48f1b8791a80a0ec9bf8ce2f883c320ad2c88ff8ea8f4c06ecca93e67bff613c3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/48748857$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/48748857$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,27923,27924,58016,58249</link.rule.ids></links><search><creatorcontrib>Dong, Jiacheng</creatorcontrib><creatorcontrib>Guan, Gang</creatorcontrib><title>Offshore Drilling Information Model Retrieval Method Based on Improved Campaign Algorithm</title><title>Journal of coastal research</title><description>Dong, J. and Guan, G., 2020. Offshore drilling information model retrieval method based on improved campaign algorithm. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1072-1077. Coconut Creek (Florida), ISSN 0749-0208. The offshore drilling information model is complex and diverse, and traditional methods are difficult to accurately and efficiently search. In order to improve the retrieval performance of ARCHI, an offshore drilling information model retrieval method based on improved campaign algorithm is proposed. In the computing architecture information model, the associated data stream information is concentrated on the fuzzy clustering center of the multi-layer space, and the training set is associated with the class to which it belongs. Finally, the optimization is completed. The simulation results show that the proposed algorithm has higher performance in accessing and retrieving associated data when establishing offshore drilling information model. It is superior to traditional model in accurate retrieval and offshore drilling, and has good application value.</description><subject>Algorithms</subject><subject>association data</subject><subject>Campaign algorithm</subject><subject>Clustering</subject><subject>Coastal inlets</subject><subject>Coastal research</subject><subject>Data transmission</subject><subject>Drilling</subject><subject>Information retrieval</subject><subject>METHODOLOGIES</subject><subject>Methods</subject><subject>Multilayers</subject><subject>Offshore</subject><subject>Offshore drilling</subject><subject>Optimization</subject><subject>retrieval</subject><subject>the offshore drilling information 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Drilling Information Model Retrieval Method Based on Improved Campaign Algorithm</title><author>Dong, Jiacheng ; Guan, Gang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b314t-48f1b8791a80a0ec9bf8ce2f883c320ad2c88ff8ea8f4c06ecca93e67bff613c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>association data</topic><topic>Campaign algorithm</topic><topic>Clustering</topic><topic>Coastal inlets</topic><topic>Coastal research</topic><topic>Data transmission</topic><topic>Drilling</topic><topic>Information retrieval</topic><topic>METHODOLOGIES</topic><topic>Methods</topic><topic>Multilayers</topic><topic>Offshore</topic><topic>Offshore drilling</topic><topic>Optimization</topic><topic>retrieval</topic><topic>the offshore drilling information model</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dong, 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dong, Jiacheng</au><au>Guan, Gang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Offshore Drilling Information Model Retrieval Method Based on Improved Campaign Algorithm</atitle><jtitle>Journal of coastal research</jtitle><date>2020-05-26</date><risdate>2020</risdate><volume>95</volume><issue>sp1</issue><spage>1072</spage><epage>1077</epage><pages>1072-1077</pages><issn>0749-0208</issn><eissn>1551-5036</eissn><abstract>Dong, J. and Guan, G., 2020. Offshore drilling information model retrieval method based on improved campaign algorithm. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1072-1077. Coconut Creek (Florida), ISSN 0749-0208. The offshore drilling information model is complex and diverse, and traditional methods are difficult to accurately and efficiently search. In order to improve the retrieval performance of ARCHI, an offshore drilling information model retrieval method based on improved campaign algorithm is proposed. In the computing architecture information model, the associated data stream information is concentrated on the fuzzy clustering center of the multi-layer space, and the training set is associated with the class to which it belongs. Finally, the optimization is completed. The simulation results show that the proposed algorithm has higher performance in accessing and retrieving associated data when establishing offshore drilling information model. It is superior to traditional model in accurate retrieval and offshore drilling, and has good application value.</abstract><cop>Fort Lauderdale</cop><pub>Coastal Education and Research Foundation</pub><doi>10.2112/SI95-209.1</doi><tpages>6</tpages></addata></record> |
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| subjects | Algorithms association data Campaign algorithm Clustering Coastal inlets Coastal research Data transmission Drilling Information retrieval METHODOLOGIES Methods Multilayers Offshore Offshore drilling Optimization retrieval the offshore drilling information model |
| title | Offshore Drilling Information Model Retrieval Method Based on Improved Campaign Algorithm |
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