基于BP神经网络的轨迹预测建模方法研究

Research of Trajectory Prediction Modeling Method Based on BP Neural Network

论文基于武器装备仿真试验对轨迹生成的需求,以水下航行体为实例,分析了影响其航行轨迹的重要影响因素及相关概率分布,建立轨迹预测BP神经网络模型,并以概率分布为基础生成了网络模型训练数据,通过Matlab中的net函数对BP神经网络理论模型进行了实例仿真验证。

Based on the requirements of weapon equipment simulation test for trajectory,this paper takes underwater vehicle as an example to establish a trajectory prediction theoretical model of BP network.The important factors affecting the trajectory of un⁃derwater vehicle and relevant probability distribution are analyzed.And the network model training data is generated based on the probability distribution.The BP neural network theoretical model is simulated and verified through the example of net function in Matlab.