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Computational Intelligence Prediction Model Integrating Empirical Mode Decomposition,Principal Component Analysis, and Weighted k-Nearest Neighbor

Li Tang He-Ping Pan Yi-Yong Yao

电子科技学刊2020，Vol.18Issue(4)：341-349,9.

电子科技学刊2020，Vol.18Issue(4)：341-349,9.DOI:10.11989/JEST.1674-862X.8012401

Computational Intelligence Prediction Model Integrating Empirical Mode Decomposition,Principal Component Analysis, and Weighted k-Nearest Neighbor

Li Tang ¹He-Ping Pan ²Yi-Yong Yao³

作者信息

1. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 611731,also with the Tianfu College, Southwestern University of Finance and Economics, Chengdu 610052
2. Intelligent Finance Research Center, Chongqing Institute of Finance, Chongqing 400067
3. Tianfu College, Southwestern University of Finance and Economics, Chengdu 610052
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摘要

关键词

Empirical mode decomposition (EMD)/k-nearest neighbor (KNN)/principal component analysis (PCA)/time series

Key words

Empirical mode decomposition (EMD)/k-nearest neighbor (KNN)/principal component analysis (PCA)/time series

引用本文复制引用

Li Tang,He-Ping Pan,Yi-Yong Yao..Computational Intelligence Prediction Model Integrating Empirical Mode Decomposition,Principal Component Analysis, and Weighted k-Nearest Neighbor[J].电子科技学刊,2020,18(4):341-349,9.

基金项目

This work was supported by the Social Science Foundation of China under Grant No.17BGL231. （）

电子科技学刊

OACSCD

ISSN：1674-862X

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