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• W2984692670 abstract "Lithology information is critical to the adjustment of drilling control strategies, and can be identified by training a classification model from the well logging data. However, achieving accurate lithology identification is rather difficult owing to complex characteristics, such as data imbalance, data-overlapping, and multi-classification. In this brief, a hybrid lithology identification method is developed based on the Reducing Error Correcting Output Code algorithm with the Kernel Fisher Discriminant Analysis (RECOC-KFDA). The effectiveness of the proposed method is demonstrated based on case studies with the UCI machine learning database and the real logging data. The results show that the proposed method has superior performances compared to conventional methods." @default.
• W2984692670 created "2019-11-22" @default.
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• W2984692670 date "2020-10-01" @default.
• W2984692670 modified "2023-09-24" @default.
• W2984692670 title "A Hybrid Reducing Error Correcting Output Code for Lithology Identification" @default.
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• W2984692670 doi "https://doi.org/10.1109/tcsii.2019.2950269" @default.
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