Research on Partial Least Squares Method Based on Deep Confidence Network in Traditional Chinese Medicine
Joint Authors
Xiong, Wang-ping
Li, Tian-ci
Zeng, Qing-xia
Du, Jian-qiang
Nie, Bin
Chen, Chih-Cheng
Zhou, Xian
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Partial least squares method has many advantages in multivariate linear regression modeling, but its internal cross-checking method will lead to a sharp reduction of the principal component, thereby reducing the accuracy of the regression equation, and the selection of principal components about the traditional Chinese medicine data is particularly sensitive.
This paper proposes a kind of partial least squares method based on deep belief nets.
This method mainly uses the deep learning model to extract the upper-level features of the original data, putting the extracted features into the partial least squares model for multiple linear regression and evading the problem that selects the number of principal components, continuously adjusting the model parameters until satisfied well-pleased accuracy condition.
Using Dachengqitang experimental data and data sets in the UCI Machine Learning Repository, the experimental results show that the partial least squares analysis method based on deep belief nets has good adaptability to TCM data.
American Psychological Association (APA)
Xiong, Wang-ping& Li, Tian-ci& Zeng, Qing-xia& Du, Jian-qiang& Nie, Bin& Chen, Chih-Cheng…[et al.]. 2020. Research on Partial Least Squares Method Based on Deep Confidence Network in Traditional Chinese Medicine. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1153026
Modern Language Association (MLA)
Xiong, Wang-ping…[et al.]. Research on Partial Least Squares Method Based on Deep Confidence Network in Traditional Chinese Medicine. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1153026
American Medical Association (AMA)
Xiong, Wang-ping& Li, Tian-ci& Zeng, Qing-xia& Du, Jian-qiang& Nie, Bin& Chen, Chih-Cheng…[et al.]. Research on Partial Least Squares Method Based on Deep Confidence Network in Traditional Chinese Medicine. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1153026
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153026