神经网络算法的舰船间距快速预测

Fast prediction of ship spacing based on neural network

间距预测是保证舰船航行安全的重要技术,传统方法存在舰船间距预测不准确,精度低等不足,为了提高舰船间距预测精度,提出基于神经网络算法的舰船间距快速预测模型。首先分析当前舰船间距预测的研究现状,找到引起舰船间距预测不足的因素,然后引入神经网络算法对舰船间距变化特点进行深入挖掘,建立舰船间距快速预测模型,最后采用VC++6.0编程程序实现舰船间距快速预测仿真实验,结果表明,神经网络算法的舰船间距预测精度超过90%,远远高于其他舰船间距预测模型,而且舰船间距预测速度快,减少了舰船间距预测的时间,具有比较明显的优越性。

Spacing prediction is an important technology to ensure navigational safety of warships.Traditional methods have some shortcomings,such as inaccurate and low accuracy.In order to improve the accuracy of spacing prediction,a fast prediction model of warship spacing based on neural network algorithm is proposed.Firstly,the current research status of ship spacing prediction is analyzed,and the factors causing insufficient prediction of ship spacing are found.Then,the characteristics of ship spacing change are deeply excavated by introducing the neural network algorithm,and a fast prediction model of ship spacing is established.Finally,the simulation experiment of ship spacing prediction is realized by using VC++6.0 programming program.The results show that the prediction accuracy of ship spacing based on the neural network algorithm is more than 90%,which is much higher than that of other ship spacing prediction models.Moreover,the prediction speed of ship spacing is fast and the time of ship spacing prediction is reduced,which has obvious advantages.