بررسي مقايسه اي توان پيش بيني شبكه هاي عصبي مصنوعي با روش توقف زود هنگام و فرايند سري زماني خودبازگشت در براورد نرخ تورم

Comparative Study of Estimation Power of Artificial Neural Networks and Autoregressive Time Series Models in Inflation Forecasting

This article is a comparative study of estimation power of artificial neural networks and autoregressive time series models in inflation forecasting. Using 37 years Iranʹs inflation data, neural networks performs better on average for short horizons than autoregressive models. This study shows usefulness of early stopping technique in learning stage of neural networks for estimating time series.