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BP神经网络在机场货运站生产调度中的应用
引用本文:赵亮,宋宇博,蒋兆远.BP神经网络在机场货运站生产调度中的应用[J].起重运输机械,2009(11):39-42.
作者姓名:赵亮  宋宇博  蒋兆远
作者单位:兰州交通大学
基金项目:2007甘肃省重大科技专项基金 
摘    要:分析了机场货运站生产调度系统在执行过程中存在的不确定性作业调度,提出了利用BP神经网络对作业执行时间进行预测,根据预测结果进行作业调整,并以按航班出库作业预警为实例,给出了具体模型以及详细的处理流程。结果表明,将BP神经网络应用到生产调度系统中,预测准确率高,解决了作业时间延误的问题,提高了生产调度过程的可控性。

关 键 词:机场货运站  生产调度  BP神经网络  作业延误  预警

Application of BP neural network to schedule at airport freight station
Abstract:The paper analyzes the schedule with uncertainty in operational process of the schedule system for airport freight station and predicts the operational time of the system by means of BP neural network. Furthermore, it offers the related model and the detailed operation process according to the predicting result, with an actual freight delivery example. The result shows that prediction of the BP neural network applied to the schedule system features high precision and can overcome the problem about the operational delay and improve the controllability of the schedule process.
Keywords:airport freight station  operation schedule  BP neural network  operation delay  early warning
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