Comparative Analysis of Education Expenditure in China and Uzbekistan (20002024) Using Articial Neural Networks

Bakoev Matyokub; Rong Zhaoo

doi:10.71337/inlibrary.uz.science-research.102314

Authors

Bakoev Matyokub
Rong Zhaoo

DOI:

https://doi.org/10.71337/inlibrary.uz.science-research.102314

Keywords:

Education expenditure Neural Network Autoregression (NNAR) Articial Neural Networks time series forecasting comparative analysis China Uzbekistan.

Abstract

This paper conducts a comparative time series analysis of public education expenditure in China and Uzbekistan over the period 20002024. Using the Neural Network Autoregression (NNAR) model, we forecast future trends and assess the dynamics of spending on education. The study reveals divergent trajectories and investment strategies between the two countries, inuenced by economic development levels, policy priorities, and demographic trends. Our ndings highlight the potential of machine learning approaches in economic forecasting and policy evaluation.