Online Morse code automatic recognition with neural network system

被引：0

作者：

Luo, CH ^{[1
]}

Fuh, DT ^{[1
]}

机构：

[1] Natl Cheng Kung Univ, Dept Elect Engn, Tainan 70101, Taiwan

来源：

PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: BUILDING NEW BRIDGES AT THE FRONTIERS OF ENGINEERING AND MEDICINE | 2001年 / 23卷

关键词：

Morse code; mixture of experts; neural network;

D O I：

暂无

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

In this paper proposed a new mixture of expert algorithm to improve the recognition rate of online Morse code automatic recognition system. From three person tests, the neural network has the average recognition rate up to 94.4%. Mixture of experts Neural Network has successfully overcome the difficulty of analyzing severely unstable Morse code time series.

引用

页码：684 / 686

页数：3

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