Application of Fuzzy Neural Networks Based on Genetic Algorithms in Integrated Navigation System

被引：1

作者：

Liu, Jianjuan ^{[1
]}

机构：

[1] Henan Univ Technol, Dept Elect Engn, Zhengzhou 450007, Peoples R China

来源：

ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS | 2009年

关键词：

Integrated navigation; Genetic algorithms; Fuzzy neural networks;

D O I：

10.1109/ICICTA.2009.393

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

There are matters of non-linear, computing errors, dimension tragedy, and model errors in conventional data fusion algorithms in integrated navigation. Fuzzy neural networks based on genetic algorithms not only has the capacity of the fuzzy neural networks, such as expressing approximate and qualitative knowledge, study, and expressing non-linear, but also has the competence of fast global searching of the genetic algorithms. So fuzzy neural networks based on genetic algorithms can be treated as an effective data fusion algorithms. And it was used in integrated navigation in this paper; the simulation results testified its validity.

引用

页码：656 / 659

页数：4

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