Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine
Joint Authors
Li, Guohui
Yang, Hong
Gao, Lipeng
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-24
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Aiming at the chaotic characteristics of underwater acoustic signal, a prediction model of grey wolf-optimized kernel extreme learning machine (OKELM) based on MVMD is proposed in this paper for short-term prediction of underwater acoustic signals.
To solve the problem of K value selection in variational mode decomposition, a new K value selection method MVMD is proposed from the perspective of mutual information, which avoids the blindness of variational mode decomposition (VMD) in the preset modal number.
Based on the prediction model of kernel extreme learning machine (KELM), this paper uses grey wolf optimization (GWO) algorithm to optimize and select its regularization parameters and kernel parameters and proposes an optimized kernel extreme learning machine OKELM.
To further improve the prediction performance of the model, combined with MVMD, an underwater acoustic signal prediction model based on MVMD-OKELM is established.
MVMD-OKELM prediction model is applied to Mackey–Glass chaotic time series prediction and underwater acoustic signal prediction and is compared with ARIMA, EMD-OKELM, and other prediction models.
The experimental results show that the proposed MVMD-OKELM prediction model has a higher prediction accuracy and can be effectively applied to the prediction of underwater acoustic signal series.
American Psychological Association (APA)
Yang, Hong& Gao, Lipeng& Li, Guohui. 2020. Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine. Complexity،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1143443
Modern Language Association (MLA)
Yang, Hong…[et al.]. Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine. Complexity No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1143443
American Medical Association (AMA)
Yang, Hong& Gao, Lipeng& Li, Guohui. Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine. Complexity. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1143443
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143443