A Fuzzy C-Means Clustering-Based Hybrid Multivariate Time Series Prediction Framework With Feature Selection
Author:
Affiliation:
1. School of Mathematics and Statistics, Hubei Minzu University, Enshi, China
2. Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China
3. School of Information Science and Technology, Nantong University, Nantong, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/91/10623556/10508476.pdf?arnumber=10508476
Reference58 articles.
1. Multivariate Time Series Forecasting Based on Elastic Net and High-Order Fuzzy Cognitive Maps: A Case Study on Human Action Prediction Through EEG Signals
2. Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
3. Prediction Intervals for a Noisy Nonlinear Time Series Based on a Bootstrapping Reservoir Computing Network Ensemble
4. Nonpooling Convolutional Neural Network Forecasting for Seasonal Time Series With Trends
5. An error correction prediction model based on three-way decision and ensemble learning
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