A comparison of binary and multiclass support vector machine models for volcanic lithology estimation using geophysical log data from Liaohe Basin, China-Reference-Cited by-同舟云学术

A comparison of binary and multiclass support vector machine models for volcanic lithology estimation using geophysical log data from Liaohe Basin, China

Published:2016-06-01 Issue:2 Volume:47 Page:145-149
ISSN:0812-3985
Container-title:Exploration Geophysics
language:en
Short-container-title:Exploration Geophysics

Author:

Mou Dan¹²,Wang Zhu-Wen¹

Affiliation:

1. College of Geoexploration, Science and Technology, Jilin University, Changchun 130021, China.

2. Corresponding author.

Publisher

Informa UK Limited

Subject

Geology,Geophysics

Link

https://www.tandfonline.com/doi/pdf/10.1071/EG14114

Reference14 articles.

1. Blocking geophysical borehole log data using the continuous wavelet transform

2. The application of Monte Carlo modelling to downhole total-count logging of uranium: part I – low grade mineralisation

3. A comparison of methods for multiclass support vector machines

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