An insulator pollution degree detection method based on crisscross optimization algorithm with blending ensemble learning-Reference-Cited by-同舟云学术

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An insulator pollution degree detection method based on crisscross optimization algorithm with blending ensemble learning

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)
language:
Short-container-title:

Author:

Zhang Jianfeng¹,Wen Huikang²,Wang Hongxing³,Zhang Guoxin¹,Wen Huiting¹,Jiang Huayang¹,Rong Jiayu⁴

Affiliation:

1. Guangdong Power Grid Co., Ltd,Meizhou Power Supply Bureau,Meizhou,China

2. Guangdong Power Grid Co., Ltd,Jiangmen Power Supply Bureau,Jiangmen,China

3. China Southern Power Grid Power Technology Co., Ltd,Guangzhou,China

4. School of Automation, Guangdong University of Technology,Guangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10030083/10030092/10030659.pdf?arnumber=10030659

Reference15 articles.

1. Classification of Zambian grasslands using random forest feature importance selection during the optimal phenological period

2. Research on feature importance evaluation of wireless signal recognition based on decision tree algorithm in cognitive computing

3. Relative Analysis of ML Algorithm QDA, LR and SVM for Credit Card Fraud Detection Dataset

4. Cost-sensitive feature selection using random forest: Selecting low-cost subsets of informative features

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1. CS-GA-XGBoost-Based Model for a Radio-Frequency Power Amplifier under Different Temperatures;Micromachines;2023-08-27

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