Neural Network Architectures Evaluation on the Prediction Accuracy of the Ionospheric Total Electron Content
Author:
Affiliation:
1. Scientific Research Institute of Physics, Southern Federal University,Rostov-on-Don,Russian Federation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10201903/10201934/10202127.pdf?arnumber=10202127
Reference12 articles.
1. Forecasting the total electron content TEC of the ionosphere using space weather parameters
2. Temporal Convolutional Networks for Action Segmentation and Detection
3. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling;bai;arXiv 1803 01271 [cs LG],2018
4. Ingestion of FORMOSAT-3/COSMIC GPS data into La Plata Ionospheric Model: A preliminary assessment
5. Ensemble Machine Learning of Random Forest, AdaBoost and XGBoost for Vertical Total Electron Content Forecasting
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