An Artificial Neural Network for Predicting Air Traffic Demand Based on Socio-Economic Parameters

Alam, Md. Aftab; Deb, Jayanta; Amin, Abdullah Al; Chowdhury, S.

doi:10.2139/ssrn.4494530

2023

DOI: 10.2139/ssrn.4494530

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An Artificial Neural Network for Predicting Air Traffic Demand Based on Socio-Economic Parameters

Md. Aftab Alam¹,

Jayanta Deb

Abdullah Al Amin³

et al.

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2024

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Demand Forecast Analysis for Bagel Sales in the Food Industry

Özdemir,

Önüt

2024

İstatistik Ve Uygulamalı Bilimler Dergisi

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Food has become the solution for every living person, including plants and animals, to protect their health, sustain their lives and ensure their development. Consuming balanced and sufficient amounts of food is a necessity for the continuity of life. Therefore, all the processes of these food changes, starting from the lowest stage (agriculture, animal husbandry, fisheries), through activities such as production, execution and maintenance, to the final processes, constitute the food sector. The commercial value of this sector was 680 billion dollars in 1995 and 1.5 trillion dollars in 2018. Production and consumption play a big role in the fact that the volume of the food industry has more than doubled in a few years. The unification and easier expansion of a global transportation network has made a positive contribution to the food industry, as it does everywhere else. The purpose of this programming is to enable artificial intelligence to easily predict the annual sales amounts of a company that produces, supplies and sells bagels and the bagel demand for the next month. The research was carried out using the estimated artificial intelligence methods, LSTM (Long Short Term Memory) Neural Network and CNN (Convolutional Neural Network) Neural Network system. MSE (Mean Squared Error) and RMSE (Root Mean Square Error) were used to evaluate the accuracy of the prediction results. LSTM and CNN artificial intelligence methods have been tested in software and almost the same accuracy results are seen in both methods. Therefore, the change in the results of accurate estimation of the amount that can be sold will have a positive impact on profitability, competition with the market and sustainability.

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Demand Forecast Analysis for Bagel Sales in the Food Industry

Özdemir,

Önüt

2024

İstatistik Ve Uygulamalı Bilimler Dergisi

View full text Add to dashboard Cite

show abstract

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An Artificial Neural Network for Predicting Air Traffic Demand Based on Socio-Economic Parameters

Cited by 1 publication

References 25 publications

Demand Forecast Analysis for Bagel Sales in the Food Industry

Demand Forecast Analysis for Bagel Sales in the Food Industry

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