Classification and recognition method based on intra-class and inter-class distances and AdaBoost-SCN

ZHAO Huailiang; YANG Runping; ZHAO Shaohua; SU Runmei; CHEN Linyu; SHANG Qiufeng; YAO Guozhen

doi:10.13921/j.cnki.issn1002-5561.2025.02.006

Optical Communication Technology, Volume. 49, Issue 2, 29(2025)

Classification and recognition method based on intra-class and inter-class distances and AdaBoost-SCN

ZHAO Huailiang¹, YANG Runping¹, ZHAO Shaohua¹, SU Runmei¹, CHEN Linyu¹, SHANG Qiufeng², and YAO Guozhen²

¹Inner Mongolia Electric Power (Group) Co., Ltd., Inner Mongolia Ultra High Voltage Power Supply Branch, Hohhot 010000, China

²Department of Electronics and Communication Engineering, North China Electric Power University, Baoding Hebei 071003, China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(0)

Tools

Get Citation

Copy Citation Text

ZHAO Huailiang, YANG Runping, ZHAO Shaohua, SU Runmei, CHEN Linyu, SHANG Qiufeng, YAO Guozhen. Classification and recognition method based on intra-class and inter-class distances and AdaBoost-SCN[J]. Optical Communication Technology, 2025, 49(2): 29

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Special Issue:

Received: Sep. 28, 2024

Accepted: Apr. 25, 2025

Published Online: Apr. 25, 2025

The Author Email:

DOI:10.13921/j.cnki.issn1002-5561.2025.02.006

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology