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针对惯性导航系统中陀螺仪的漂移特性，在时间序列分析及神经网络理论的基础上提出了一种时间序列神经网络结构，并采用此种网络模型对某捷联惯导系统中所用的陀螺仪漂移数据进行了预报．预测结果表明，这种预测方法对于陀螺漂移建模及预报是可行的．
In view of the drift characteristics of gyroscopes in inertial navigation system, a time-series neural network structure is proposed based on time series analysis and neural network theory. The gyroscope used in a strapdown inertial navigation system Drift data are forecasted. The prediction results show that this prediction method is feasible for the modeling and forecasting of gyro drift.