A Deep Learning Prediction Model Based on Extreme-Point Symmetric Mode Decomposition and Cluster Analysis
Joint Authors
Li, Guohui
Yang, Hong
Zhang, Songling
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-27
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Aiming at the irregularity of nonlinear signal and its predicting difficulty, a deep learning prediction model based on extreme-point symmetric mode decomposition (ESMD) and clustering analysis is proposed.
Firstly, the original data is decomposed by ESMD to obtain the finite number of intrinsic mode functions (IMFs) and residuals.
Secondly, the fuzzy c-means is used to cluster the decomposed components, and then the deep belief network (DBN) is used to predict it.
Finally, the reconstructed IMFs and residuals are the final prediction results.
Six kinds of prediction models are compared, which are DBN prediction model, EMD-DBN prediction model, EEMD-DBN prediction model, CEEMD-DBN prediction model, ESMD-DBN prediction model, and the proposed model in this paper.
The same sunspots time series are predicted with six kinds of prediction models.
The experimental results show that the proposed model has better prediction accuracy and smaller error.
American Psychological Association (APA)
Li, Guohui& Zhang, Songling& Yang, Hong. 2017. A Deep Learning Prediction Model Based on Extreme-Point Symmetric Mode Decomposition and Cluster Analysis. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1192393
Modern Language Association (MLA)
Li, Guohui…[et al.]. A Deep Learning Prediction Model Based on Extreme-Point Symmetric Mode Decomposition and Cluster Analysis. Mathematical Problems in Engineering No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1192393
American Medical Association (AMA)
Li, Guohui& Zhang, Songling& Yang, Hong. A Deep Learning Prediction Model Based on Extreme-Point Symmetric Mode Decomposition and Cluster Analysis. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1192393
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192393