Predictive self-organizing map for vector quantization of migratory signals

被引：0

作者：

Hirose, A ^{[1
]}

Nagashima, T ^{[1
]}

机构：

[1] Univ Tokyo, RCAST, Dept Frontier Informat, Tokyo 1538904, Japan

来源：

ARTIFICIAL NEURAL NETWORKS - ICANN 2002 | 2002年 / 2415卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Predictive self-organizing map (P-SOM) that performs an adaptive vector quantization of migratory signals is proposed. The P-SOM separates continuously varying components of the signal from random noise, resulting in a better performance of the adaptive vector quantization. An application to a communication system is presented.

引用

页码：884 / 889

页数：6

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