Prediction of frequency parameters of short-wave communication based on wavelet and ANFIS

被引：0

作者：

Song, H ^{[1
]}

Zuo, JZ ^{[1
]}

机构：

[1] Air Force Engn Univ, Dept Engn, Xian, Shan Xi, Peoples R China

来源：

WAVELET ANALYSIS AND ACTIVE MEDIA TECHNOLOGY VOLS 1-3 | 2005年

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：

This paper presents a prediction model of frequency parameters of short-wave communication based on ANFIS. The system parameters of the model are adjusted by delaminating-adaptation genetic algorithm. The model is simulated and compared with other nonlinear methods. The model shows some standout excellences, such as higher precision of prediction, faster speed of convergence, better across-the-board astringency and intelligence of adjusting system parameters.

引用

页码：1425 / 1432

页数：8

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