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- W2348901276 abstract "The support vector machine( SVM) needs training samples to train itself before identifying stratum, while there are no training samples with stratum identification. Focusing on this problem,this paper puts forward a vector machine classifier based on the ordered clustering algorithm. Firstly,the ordered clustering algorithm is used to get preliminary layered logging data which have been filtered and normalized. Secondly,the training samples are obtained according to preliminary layered outcomes. Finally,the data are layered again by the trained SVM classifier. The algorithm is used to automatically identify the lithology of the selected three wells,and compared with the results of the other algorithms. The results of the simulation experiment show that the algorithm overcomes the drawbacks that the labeled data has to adopt when training SVM,and improves the accuracy of each stratum,reaching 85% on average." @default.
- W2348901276 created "2016-06-24" @default.
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- W2348901276 date "2014-01-01" @default.
- W2348901276 modified "2023-09-24" @default.
- W2348901276 title "Stratum identification based on the SVM and ordered cluster" @default.
- W2348901276 hasPublicationYear "2014" @default.
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