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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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摘要

Managing an airport is very complex. Decisions are often based on common sense and influence severalvariables, such as flight delay. This paper considers the problem of predicting flight departure delay at PortoAirport. As far as we know, this the first study on the subject.The problem is treated as an ordinal classificationtask and a suitable approach, based on the so-called unimodal model, is used to predict the delay. The unimodalmodel 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PortoAirport航班起飞延误的问题。据我们所知,这是对该主题的首次研究。该问题被视为序数分类任务,并且基于所谓的单峰模型,使用一种合适的方法来预测延迟。单模模型使用神经网络实现,并且出于比较目的,还使用树。

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