Jupyter notebook script to demonstrate the use of the machine learning databases and analysis for Journal of Geophysical Research: Space Physics manuscript: "New capabilities for prediction of high-latitude ionospheric scintillation: A novel approach with machine learning."
收藏figshare.com2018-10-16 更新2025-01-21 收录
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https://figshare.com/articles/dataset/Jupyter_notebook_script_to_demonstrate_the_use_of_the_machine_learning_databases_and_analysis_for_Journal_of_Geophysical_Research_Space_Physics_manuscript_New_capabilities_for_prediction_of_high-latitude_ionospheric_scintillation_A_novel_approach_with_mac/6813143/1
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This Jupyter notebook script provides processing details to support the analysis and results of the Journal of Geophysical Research: Space Physics manuscript: "New capabilities for prediction of high-latitude ionospheric scintillation: A novel approach with machine learning."It uses the two machine learning database data sets also provided in this FigShare project.
本 Jupyter 笔记本脚本提供了对《地球物理研究:空间物理学》杂志稿件“利用机器学习预测高纬度电离层闪烁的新能力:一种新颖的方法”的分析与结果的支持性处理细节。它使用了在此 FigShare 项目中提供的两个机器学习数据库数据集。
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figshare



