Multivariate Time Series Classification Based on Multi-Channel Representation Model and Broad Learning System-Reference-Cited by-同舟云学术

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Multivariate Time Series Classification Based on Multi-Channel Representation Model and Broad Learning System

Published:2023-11-03 Issue: Volume: Page:402-406
ISSN:
Container-title:2023 International Conference on New Trends in Computational Intelligence (NTCI)
language:
Short-container-title:

Author:

Tang Jiani¹,Wang Degang¹

Affiliation:

1. School of Control Science and Engineering, Dalian, University of Technology,Dalian,China

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

National Natural Science Foundation (NNSF) of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10403657/10403658/10403675.pdf?arnumber=10403675

Reference14 articles.

1. Univariate time series classification using information geometry

2. Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification

3. An oil imports dependence forecasting system based on fuzzy time series and multi-objective optimization algorithm: Case for China

4. Unsupervised feature selection via adaptive autoencoder with redundancy control

5. ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification

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