Yanfeng Fan

Orcid: 0000-0001-6173-0937

According to our database1, Yanfeng Fan authored at least 12 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
A Lightning Classification Method Based on Convolutional Encoding Features.
Remote. Sens., March, 2024

Performance Evaluation of LMI Based on Low-Frequency Three-Dimensional Total Lightning Flash Location Data.
Remote. Sens., January, 2024

2023
Correlation between Frequency-Divided Magnetic Field and Channel-Base Current for Rocket-Triggered Lightning.
Remote. Sens., August, 2023

2022
Spatiotemporal Correlation between Artificially Triggered and Adjacent Natural Lightning Flashes.
Remote. Sens., 2022

Close Observation of the Evolution Process during Initial Stage of Triggered Lightning Based on Continuous Interferometer.
Remote. Sens., 2022

2021
Fast and Fine Location of Total Lightning from Low Frequency Signals Based on Deep-Learning Encoding Features.
Remote. Sens., 2021

A Comprehensive Study on the Improved Radio-Frequency Magnetic Field Measurement for the Initial Upward Leader of a Negative Rocket-Triggered Lightning Flash.
Remote. Sens., 2021

2008
A New Approach to Division of Attribute Space for SVR Based Classification Rule Extraction.
Proceedings of the Advances in Neural Networks, 2008

A New Approach to Attribute Importance Ranking for Constructing Classification Rules Based on SVR.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007
Extracting Symbolic Rules from Trained Support Vector Machines Based on the Derivative Heuristic Information.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Constructing Classification Rules Based on SVR and Its Derivative Characteristics.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2006
A New Approach to Symbolic Classification Rule Extraction Based on SVM.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006


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