FORECASTING INFLATION RATE USING ARTIFICIAL NEURAL NETWORK: THE CASE OF VIETNAM
Vol. 131 No. 5B (2022), Original Article
Vol. 131 No. 5B (2022)

FORECASTING INFLATION RATE USING ARTIFICIAL NEURAL NETWORK: THE CASE OF VIETNAM

Original Article
https://doi.org/10.26459/hueunijed.v131i5B.6972
Published 2022-12-13
Nguyen Tien Nhat
Trường Đại học Kinh tế, Đại học Huế, 99 Hồ Đắc Di, Huế, Việt Nam
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Keywords

artificial neural network
forecasting
inflation
Vietnam

Abstract

This research applies the feedforward artificial neural network (ANN) with a backpropagation algorithm to predict the inflation rate of Vietnam for the year 2022 using a historical dataset from 2000 to 2021. The forecast shows a close similarity to the actual figures, implying that the built-up ANN model is efficient and applicable. The result also points out that money supply is a significant factor in forecasting the inflation rate of Vietnam.
https://doi.org/10.26459/hueunijed.v131i5B.6972
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