仿真结果表明，该模糊优化算法对导航系统惯性元件的误差补偿是可行的，而且是有效的，具有一定的实用价值。
The simulation results demonstrate that the fuzzy optimal method has certain validity and feasibility for error compensation of inertial elements in navigation system, it has better practical worth.
阐述基于模糊优化算法的导航系统惯性元件误差补偿方法。
The method of error compensation for inertial elements in navigation system based on fuzzy optimal algorithm is presented.
鉴于常规卡尔曼滤波算法组合导航系统数据融合算法中，存在易于发散的缺陷，尝试将遗传优化人工神经网络引入组合导航系统中。
As the conventional Kalman filter is liable to get divergence in integrated navigation system data fusion, an artificial neural network based on the genetic algorithms was applied in the system.
鉴于常规卡尔曼滤波算法组合导航系统数据融合算法中，存在易于发散的缺陷，尝试将遗传优化人工神经网络引入组合导航系统中。
As the conventional Kalman filter is liable to get divergence in integrated navigation system data fusion, an artificial neural network based on the genetic algorithms was applied in the system.
应用推荐