A Hybrid Reducing Error Correcting Output Code for Lithology Identification

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,...

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Veröffentlicht in:	IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2020-10, Vol.67 (10), p.2254-2258
Hauptverfasser:	Chen, Xi, Cao, Weihua, Gan, Chao, Hu, Wenkai, Wu, Min
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Circuits and systems Classification Data logging Discriminant analysis Drilling machines Encoding Error correction Error reduction Identification methods imbalanced dataset Kernel kernel fisher discriminant analysis Lithology Lithology identification Machine learning Measurement multi-class learning reducing error correcting output codes Training
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