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基于BP神经网络的航空公司机队可靠性评价模型
引用本文:陈勇刚. 基于BP神经网络的航空公司机队可靠性评价模型[J]. 数学的实践与认识, 2011, 41(2)
作者姓名:陈勇刚
作者单位:中国民航飞行学院,航空工程学院,四川,广汉,618307
摘    要:
机队作为航空公司运输能力的关键,其安全性与可靠性直接影响到航空公司的经济效益.根据航空公司机队可靠性统计和数据采集方式以及实际应用情况,建立了航空公司机队可靠性评价指标体系.鉴于机队可靠性受多种复杂因素影响及各指标体系非线性等特点,结合人工神经网络基本原理和特性,提出了BP神经网络机队可靠性评价模型.最后应用该模型对航空公司机队可靠性进行了实例分析,得出了评价等级.结果表明,基于BP神经网络机队可靠性评价模型是可行的,该方法能够实现动态的评价,对提高航空公司机队可靠性评价技术水平具有现实的意义.

关 键 词:航空公司机队  评价模型  BP神经网络  可靠性  指标体系

Assessment Model of Airline Fleet Reliability Based on BP Neural Network
CHEN Yong-gang. Assessment Model of Airline Fleet Reliability Based on BP Neural Network[J]. Mathematics in Practice and Theory, 2011, 41(2)
Authors:CHEN Yong-gang
Affiliation:CHEN Yong-gang (Aviation Engineering Institute,Civil Aviation Flight University of China,Guanghan 618307,China)
Abstract:
Fleet is important to keep transportation ability of airline;it's safety and reliability affects directivity economic benefit of airline transportation.According to reliability statistics,data and practice of airline fleet,the paper constructs assessment index system on airline fleet.In consideration of various factors' effect and index system nonlinear,the assessment model of airline fleet reliability is put up based on BP neural network theory and character.Then,we analyze airline fleet reliability and re...
Keywords:airline fleet  assessment model  BP neural network  reliability  index system  
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