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

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.

关键词： Integrated navigation Genetic algorithms Fuzzy neural networks

作者: Jianjuan LIU

作者单位: Department of Electrical Engineering, Henan University of Technology, Zhengzhou 450007, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 1608-1611

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）