Predicting Food Consumption to Reduce the Risk of Food Insecurity in Kazakhstan

Predicting Food Consumption to Reduce the Risk of Food Insecurity in Kazakhstan

In modern times, the risk of food insecurity is a concern for policymakers at the global and national levels, as the issue of hunger and malnutrition still exists. Food security is vulnerable to any crises. The main goal of this paper is to create a neural-network-based predictive model to forecast...

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Bibliographic Details
Main Authors: Aigerim Duisenbekova, Monika Kulisz, Alina Danilowska, Arkadiusz Gola, Madina Ryspekova
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Economies
Subjects:
food insecurity
food consumption
data analysis
modelling
neural network
principal component analysis
Online Access:https://www.mdpi.com/2227-7099/12/1/11

Internet

https://www.mdpi.com/2227-7099/12/1/11

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