A Model-Assisted Combined Machine Learning Method for Ionospheric TEC Prediction
Playlist
  • TEC
  • prediction
  • machine learning
  • neural network
  • genetic algorithm
Chapter
00:10
Introduction
01:27
Measurement of Input Data
02:25
MMAdaptGA-BP-NN
02:59
Prediction of TEC Data
03:54
Conclusions
Video Introduction

This video is adapted from 10.3390/rs15122953

In order to improve the prediction accuracy of ionospheric total electron content (TEC), a combined intelligent prediction model (MMAdapGA-BP-NN) based on a multi-mutation, multi-cross adaptive genetic algorithm (MMAdapGA) and a back propagation neural network (BP-NN) was proposed. The model combines the international reference ionosphere (IRI), statistical machine learning (SML), BP-NN, and MMAdapGA. Compared with the IRI, SML-based, and other neural network models, MMAdapGA-BP-NN has higher accuracy and a more stable prediction effect. Taking the Athens station in Greece as an example, the root mean square errors (RMSEs) of MMAdapGA-BP-NN in 2015 and 2020 are 2.84TECU and 0.85TECU, respectively, 52.27% and 72.13% lower than the IRI model. Compared with the single neural network model, the MMAdapGA-BP-NN model reduced RMSE by 28.82% and 24.11% in 2015 and 2020, respectively. Furthermore, compared with the neural network optimized by a single mutation genetic algorithm, MMAdapGA-BP-NN has fewer iterations ranging from 10 to 30. The results show that the prediction effect and stability of the proposed model have obvious advantages. As a result, the model could be extended to an alternative prediction scheme for more ionospheric parameters.

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Weng, J.; Wang, J.; Liu, Y. A Model-Assisted Combined Machine Learning Method for Ionospheric TEC Prediction. Encyclopedia. Available online: https://encyclopedia.pub/video/video_detail/1327 (accessed on 06 December 2024).
Weng J, Wang J, Liu Y. A Model-Assisted Combined Machine Learning Method for Ionospheric TEC Prediction. Encyclopedia. Available at: https://encyclopedia.pub/video/video_detail/1327. Accessed December 06, 2024.
Weng, Jiaxuan, Jian Wang, Yiran Liu. "A Model-Assisted Combined Machine Learning Method for Ionospheric TEC Prediction" Encyclopedia, https://encyclopedia.pub/video/video_detail/1327 (accessed December 06, 2024).
Weng, J., Wang, J., & Liu, Y. (2024, August 05). A Model-Assisted Combined Machine Learning Method for Ionospheric TEC Prediction. In Encyclopedia. https://encyclopedia.pub/video/video_detail/1327
Weng, Jiaxuan, et al. "A Model-Assisted Combined Machine Learning Method for Ionospheric TEC Prediction." Encyclopedia. Web. 05 August, 2024.
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