Application of Kriging Algorithm Based on ACFPSO in Geomagnetic Data Interpolation
Joint Authors
Zhou, Zhijian
Zhang, Meng
Wang, Yanzhang
Wang, Chao
Ma, Ming
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-21
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
High-precision geomagnetic field model is the key to magnetic anomaly detection and localization technology.
The model is usually constructed through Kriging interpolation.
Aiming at the problem of insufficient fitting of variogram in the existing Kriging interpolation methods, this paper proposes a particle swarm optimization algorithm with an adaptive compression factor (ACFPSO).
The algorithm utilizes the degree of particle aggregation and the number of iterations to dynamically change the compression factor so as to achieve an effective balance between global optimization and local exploration.
The cross-validation results show that the ACFPSO algorithm has the same convergence speed as the conventional particle swarm optimization algorithm, but the convergence accuracy is higher.
Compared with the commonly used high-efficiency interpolation methods, such as the plain Kriging, the inverse distance weighting, and the radial basis function, the ACFPSO-optimized Kriging method achieves better performance (the mean absolute error is around 0.3 nT).
American Psychological Association (APA)
Zhou, Zhijian& Zhang, Meng& Wang, Yanzhang& Wang, Chao& Ma, Ming. 2019. Application of Kriging Algorithm Based on ACFPSO in Geomagnetic Data Interpolation. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1194440
Modern Language Association (MLA)
Zhou, Zhijian…[et al.]. Application of Kriging Algorithm Based on ACFPSO in Geomagnetic Data Interpolation. Mathematical Problems in Engineering No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1194440
American Medical Association (AMA)
Zhou, Zhijian& Zhang, Meng& Wang, Yanzhang& Wang, Chao& Ma, Ming. Application of Kriging Algorithm Based on ACFPSO in Geomagnetic Data Interpolation. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1194440
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194440