Towards Optimization of Boosting Models for Formation Lithology Identification
Lithology identification is an indispensable part in geological research and petroleum engineering study. In recent years, several mathematical approaches have been used to improve the accuracy of lithology classification. Based on our earlier work that assessed machine learning models on formation...
Main Authors: | Yunxin Xie, Chenyang Zhu, Yue Lu, Zhengwei Zhu |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/5309852 |
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