Neural Networks for Food Export Gain Forecasting

Dmitry Devyatkin, Roman Suvorov, Ilya Tikhomirov, Yulia Otmakhova

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

Agriculture and food production could be an engine of economic growth in a lot of countries. The obvious way to force food and agriculture development is to discover new foreign markets with high probability of growth in the nearest future. The objective of this study is to reveal combinations of commodities and partner countries for which persistent growth of export value is expected. The proposed framework uses open data about international trade flows and production from United Nations, International Monetary Found, weather databases and quantile regression models based on neural networks. The experiments show that considering retrospective data allows to accurate forecast the desired combinations.

Язык оригиналаанглийский
Название основной публикации9th International Conference on Intelligent Systems 2018
Подзаголовок основной публикацииTheory, Research and Innovation in Applications, IS 2018 - Proceedings
РедакторыJoao Martins, Vladimir Jotsov, Robert Bierwolf, Joao Pedro Mendonca, Ricardo Jardim-Goncalves, Maria Marques
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы312-317
Число страниц6
ISBN (электронное издание)9781538670972
DOI
СостояниеОпубликовано - 2 июл 2018
Событие9th International Conference on Intelligent Systems, IS 2018 - Funchal - Madeira, Португалия
Продолжительность: 25 сен 201827 сен 2018

Серия публикаций

Название9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings

Конференция

Конференция9th International Conference on Intelligent Systems, IS 2018
СтранаПортугалия
ГородFunchal - Madeira
Период25.09.201827.09.2018

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Devyatkin, D., Suvorov, R., Tikhomirov, I., & Otmakhova, Y. (2018). Neural Networks for Food Export Gain Forecasting. В J. Martins, V. Jotsov, R. Bierwolf, J. P. Mendonca, R. Jardim-Goncalves, & M. Marques (Ред.), 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings (стр. 312-317). [8710561] (9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IS.2018.8710561