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基于神经网络算法在机场油库安全的应用 被引量:2

Application of Safety in Airport Oil Depot Based on Neural Network Algorithm
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摘要 机场油库是储存航空油料的重要基地,其安全因素包含多个方面。通过对机场油库的安全分析,采用神经网络方法,建立机场油库安全评价模型,基于MATLAB软件神经网络工具箱对其进行求解,并将结果应用到油库的安全评价中。结果表明该方法与模糊综合评价方法基本一致,研究成果对油库安全监测和预测有着重要的意义和实用价值。 Airport oil depot is an important base for storing aviation fuel. Its safety factors include many aspects.With the safety analysis of airport oil depot,the safety evaluation model of airport oil depot was established by using neural network method. MATLAB software neural network toolbox was used to solve the safety evaluation model and the results are applied to the safety evaluation of the oil depot. The results show that the method agree with the fuzzy comprehensive evaluation method,and the research results have important significance and practical value for the safety monitoring and prediction of oil depots.
作者 吴畏 WU Wei(Xinjin Branch of Civil Aviation Flight University of China,Chengdu 611400,China)
出处 《民用飞机设计与研究》 2019年第2期90-92,共3页 Civil Aircraft Design & Research
关键词 机场油库 神经网络 安全评价 MATLAB airport oil depot neural network safety evaluation MATLAB
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