WSNs Link Quality Evaluation Method Based on Multi-Hidden Layer Multi-Channel Extreme Learning Machine-Reference-Cited by-同舟云学术

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WSNs Link Quality Evaluation Method Based on Multi-Hidden Layer Multi-Channel Extreme Learning Machine

Published:2022-10-03 Issue: Volume: Page:
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Container-title:2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )
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Author:

Zhu Hong¹,Wei Lei²,Wang Wendi¹,Jiang Chengling²,Dong Qinwei²,Zhang Junyao³,Li Yue⁴

Affiliation:

1. Nanjing Power Supply Company,State Grid Jiangsu Electric Power CO., Ltd.,Nanjing,China

2. State Grid Jiangsu Electric Power CO., Ltd.,Nanjing,China

3. NARI Information & Communication Technology Co. Ltd.,Nanjing,China

4. Nanjing University of Posts and Telecommunications,Nanjing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9929429/9929329/09929501.pdf?arnumber=9929501

Reference12 articles.

1. Link Quality Evaluation Method Based on Gradient Boosting Decision Tree [D];yan;Journal of Nanchang Aviation University,2019

2. Impact of radio irregularity on wireless sensor networks

3. WSNs link quality assessment method based on ELM [D];jiangbo;N anchang Aviation University,2018

4. Research on Link Quality Estimation Mechanism for Wireless Sensor Networks Based on Support Vector Machine [J];jian;Chinese Journal of Electronics,2017

5. What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle

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