遗传优化模糊神经网络在组合导航系统中的应用  

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

作　　者：刘建娟[1] 徐晓苏[1] 

机构地区：[1]东南大学仪器科学与工程系,南京210096

出　　处：《传感技术学报》2006年第6期2630-2633,共4页Chinese Journal of Sensors and Actuators

基　　金：国家自然科学基金项目资助(60374046);总装备部国防预研基金项目资助(514090101035W0609)

摘　　要：组合导航系统中,传统的多传感器数据融合算法存在着非线性、计算误差、维数灾难和模型误差等问题.遗传优化模糊神经网络不仅具有模糊神经网络的表达近似与定性知识,较强的学习和非线性表达等能力,而且具有遗传算法的全局搜索能力,是一种有效的数据融合算法.本文将之应用于组合导航系统中,仿真结果证明了该算法的有效性.There are matters of non-linear, computing error, dimension tragedy, and model error in former 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 the fuzzy neural networks based on genetic algorithms can be treated as an effective data fusion algorithm. And it was used in integrated navigation; the simulation results testified its validity.

关 键 词：组合导航 遗传算法 模糊神经网络 

分 类 号：V249[航空宇航科学与技术—飞行器设计]