@inproceedings{c09054d2d3454f2fbd0ece5b4eb39dcb,
title = "Neural Networks for Food Export Gain Forecasting",
abstract = "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.",
keywords = "Data mining, Food market, International trade, Machine learning, Neural networks, Open data, Quantile regression",
author = "Dmitry Devyatkin and Roman Suvorov and Ilya Tikhomirov and Yulia Otmakhova",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/IS.2018.8710561",
language = "English",
series = "9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "312--317",
editor = "Joao Martins and Vladimir Jotsov and Robert Bierwolf and Mendonca, {Joao Pedro} and Ricardo Jardim-Goncalves and Maria Marques",
booktitle = "9th International Conference on Intelligent Systems 2018",
address = "United States",
note = "9th International Conference on Intelligent Systems, IS 2018 ; Conference date: 25-09-2018 Through 27-09-2018",
}