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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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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. |
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ISSN: | 0749-0208 1551-5036 |
DOI: | 10.2112/SI95-209.1 |