摘要
为了提高战场物资损耗量的预测精度,运用系统工程和系统论原理,提出了一种综合预测与分析战场物资损耗量的新方法,构建了基于灰色决策和多元线性回归组合预测的综合分析模型。基于BP神经网络,提出了综合分析模型的权值求解方法。仿真分析及模型验证表明,该综合分析模型具有较高的预测精度。
To improve the accuracy of prediction on materiel loss at battlefield,the paper introduces a new method featuring comprehensive prediction and analysis on the materiel loss at battlefield with the system engineering and system principles.The paper constructs a comprehensive analysis model based on gray decision making and multiple linear regression.Based on the BP neural network,the paper also proposes a weighting method of comprehensive analysis model.Simulation analysis and model validation show that the model has high accuracy in prediction.
出处
《装备学院学报》
2016年第6期41-43,共3页
Journal of Equipment Academy
关键词
灰色决策分析
物资损耗
多元线性回归分析
grey decision analysis
material consumption
multiple linear regression analysis