A Radar Target Classification Algorithm Based on Dropout Constrained Deep Extreme Learning Machine

A Radar Target Classification Algorithm Based on Dropout Constrained Deep Extreme Learning Machine

Radar target classification is very important in military and civilian fields. Extreme Learning Machines (ELMs) are widely used in classification because of their fast learning speed and good generalization performance. However, because of their shallow architecture, ELMs may not effectively capture...

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Bibliographic Details
Main Authors: Zhao Feixiang, Liu Yongxiang, Huo Kai
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2018-10-01
Series:Leida xuebao
Subjects:
Extreme Learning Machine (ELM)
Deep learning
Dropout constrained
Radar target classification
Stacked autoencoder
Online Access:http://radars.ie.ac.cn/fileup/HTML/R18048.htm

Internet

http://radars.ie.ac.cn/fileup/HTML/R18048.htm

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