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Predicting flight departure delay at Porto Airport: A preliminary study

机译:预测波尔图机场的航班起飞延误:初步研究

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Managing an airport is very complex. Decisions are often based on common sense and influence several variables, such as flight delay. This paper considers the problem of predicting flight departure delay at Porto Airport. As far as we know, this the first study on the subject. The problem is treated as an ordinal classification task and a suitable approach, based on the so-called unimodal model, is used to predict the delay. The unimodal model is implemented using neural networks and, for comparison purposes, also using trees.
机译:管理机场非常复杂。决策通常基于常识并影响多个变量,例如航班延误。本文考虑了预测波尔图机场航班起飞延误的问题。据我们所知,这是关于该主题的第一个研究。该问题被视为序数分类任务,并且基于所谓的单峰模型,使用了一种合适的方法来预测延迟。单峰模型是使用神经网络实现的,出于比较目的,还使用树来实现。

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