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The Application of Pattern Recognition in Electrofacies Analysis
Joint Authors
Li, Huan
Wei, Wenhong
Yang, Xiao
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Pattern recognition is an important analytical tool in electrofacies analysis.
In this paper, we study several commonly used clustering and classification algorithms.
On the basis of advantages and disadvantages of existing algorithms, we introduce the KMRIC algorithm, which improves initial centers of K-means.
Also, we propose the AKM algorithm which automatically determines the number of clusters and apply support vector machine to classification.
Finally, we apply these algorithms to electrofacies analysis, where the experiments on the real-world datasets are carried out to compare the merits of various algorithms.
American Psychological Association (APA)
Li, Huan& Yang, Xiao& Wei, Wenhong. 2014. The Application of Pattern Recognition in Electrofacies Analysis. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-487413
Modern Language Association (MLA)
Li, Huan…[et al.]. The Application of Pattern Recognition in Electrofacies Analysis. Journal of Applied Mathematics No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-487413
American Medical Association (AMA)
Li, Huan& Yang, Xiao& Wei, Wenhong. The Application of Pattern Recognition in Electrofacies Analysis. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-487413
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-487413