Comparison of ARIMA and Deep Learning Models for Forecasting the Consumer Price Index in Uzbekistan: Using R Packages

Author:

Rikhsimbaev Odiljon1ORCID,Ishnazarov Akram1ORCID,Mamasoliyev Sarvar1ORCID

Affiliation:

1. Department of Mathematical Methods in Economics, Tashkent State University of Economics, Uzbekistan

Publisher

ACM

Reference25 articles.

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2. Zhang, Y., Li, W., Chen, Q., Pu, X., & Xiang, L. (2017). Multimodels for SPI drought forecasting in the north of Haihe River Basin, China.Stochastic Environmental Research and Risk Assessment, 31(10), 2471–2481

3. Inflation forecasting using the New Keynesian Phillips Curve with a time-varying trend

4. A Novel GRU-RNN Network Model for Dynamic Path Planning of Mobile Robot

5. S. Solutions, “Machine Learning and Cloud Computing: Survey of Distributed and SaaS Solutions,” 2012.

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