山东农业大学学报（自然科学版）2017，Vol.48Issue(4)：606-610,5.DOI:10.3969/j.issn.1000-2324.2017.04.026
基于粗糙集与BP神经网络军航飞行风险等级预测
Prediction for Military Flight Risk Grades Based on Rough Set and BP Neural Network
摘要
Abstract
To predict the current military flight risk grades exactly and efficiently, this paper proposed a prediction model based on the rough set and BP neural network according to the relevant historic data. Firstly, the indicator system of military flight risks was established on the basis of the living-aircraft-environment-management theory as well as proposals from experts,cut down the redundancy causes by rough set to ensure the key factors making military flight risks and established the BP neural network model and predicted the flight risk grades in training. The result showed that this model could overcome correctly and effectively the influence of excessive risk factors and subjective assumption on the military aviation risk.关键词
粗糙集/神经网络/军航飞行/风险等级预测Key words
Rough set/neural network/military flight/risk grade prediction分类
医药卫生引用本文复制引用
孙天驰,姚登凯,赵顾颢,马嘉呈..基于粗糙集与BP神经网络军航飞行风险等级预测[J].山东农业大学学报（自然科学版）,2017,48(4):606-610,5.基金项目
国家空管科研课题:无人机空域运行安全关键技术研究(KGKT05140501) （KGKT05140501）
