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Immovable Cultural Relics Disease Prediction Based on Relevance Vector Machine
Joint Authors
Ye, Fei
Mu, Kun
Deng, Jun
Liu, Bao
Wang, Jingting
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The preventive cultural relics protection is one of the most concerned contents in archaeology, which includes environmental monitoring and accurate prediction of cultural relics diseases.
In view of the deficiency of the analysis of cultural relics data and the prediction of cultural relics diseases, a prediction model of immovable cultural relics diseases based on relevance vector machine (RVM) is proposed.
The key factors affecting the disease of immovable cultural relics are found out by the principal component analysis method, and the dimension reduction of data is realized; then, the RVM model under the framework of Bayesian theory is constructed, and the super parameters are estimated by the maximum edge likelihood method; finally, the prediction accuracy of the model is compared with the traditional diseases prediction methods.
The experiment results demonstrate that the proposed RVM-based immovable cultural relics disease prediction approach not only has the advantages of more sparse model but also has better prediction accuracy than the traditional radial basis function neural network-based and support vector machine-based methods.
American Psychological Association (APA)
Liu, Bao& Mu, Kun& Ye, Fei& Deng, Jun& Wang, Jingting. 2020. Immovable Cultural Relics Disease Prediction Based on Relevance Vector Machine. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1202195
Modern Language Association (MLA)
Liu, Bao…[et al.]. Immovable Cultural Relics Disease Prediction Based on Relevance Vector Machine. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1202195
American Medical Association (AMA)
Liu, Bao& Mu, Kun& Ye, Fei& Deng, Jun& Wang, Jingting. Immovable Cultural Relics Disease Prediction Based on Relevance Vector Machine. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1202195
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202195