基于BP神经网络的舰艇战损装备抢修排序

针对现代海战中影响舰艇战损装备抢修排序的因素不断增多,作战环境更加复杂,单一指标已不能满足抢修决策的需求,为了提高舰艇指挥员战时抢修决策的准确性和合理性,本文采用BP神经网络对舰艇战损装备抢修排序进行决策,建立了BP神经网络模型,最后通过实例进行网络训练,结果表明该方法具有较高的准确性和可行性。

Research on battlefield equipment repairs ranking of warship based on BP neural network

With the decision-making factors of battlefield damaged equipment of warship increases end to end and the battlefield circumstance is becoming more complex,now the single index has not satisfied the requirements.Entropy weight and grey relevancy are applied to analyze battlefield equipment repairs Ranking of warship in this paper.BP neural network is applied to analyze battlefield equipment repairs Ranking of warship in this paper.and make use of BP established a network of neural network model.At last,this...