Airlines fleet assignment prediction model for new flights using deep neural network

نویسندگان

چکیده

<span lang="EN-US">Airline fleet assignment is the process of allocating different types aircraft to scheduled flight legs in order reduce operating costs and increase revenue. In this research, flights data records from Egypt Air airlines was employed build an intelligent model predict optimal type for new flights. Deep neural network (DNN) support vector machines (SVM) used formulations. We evaluated performance models on a prediction. The research results showed that various accuracy levels multiclass classifications were attained by models. terms accuracy, deep performed better than machines. Besides, airline companies can use our proposed prediction with desired parameter values 5, 20 250 hidden layers, number neuron epochs respectively if they same structure attributes.</span>

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ژورنال

عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science

سال: 2023

ISSN: ['2502-4752', '2502-4760']

DOI: https://doi.org/10.11591/ijeecs.v29.i2.pp973-980