Topology Identification for Complex Dynamical Networks Based on XGBoost Using Multiple Feature Sequences
Author:
Affiliation:
1. Nanjing University of Posts and Telecommunications,College Of Automation & College of Artificial Intelligence,Nanjing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10054511/10054645/10054973.pdf?arnumber=10054973
Reference22 articles.
1. Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications
2. Reconstruction of Complex Network based on the Noise via QR Decomposition and Compressed Sensing
3. Detecting and quantifying causal associations in large nonlinear time series datasets
4. Granger Causality in Multivariate Time Series Using a Time-Ordered Restricted Vector Autoregressive Model
5. Time Series Forecasting Using Hybrid ARIMA and ANN Models Based on DWT Decomposition
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