Now showing items 1-2 of 2
The efficiency of artificial neural networks for forecasting in the presence of autocorrelated disturbances
We compare three forecasting methods, Artificial Neural Networks (ANNs), Autoregressive Integrated Moving Average (ARIMA) and Regression models. Using computer simulations, the major finding reveals that in the presence ...
A comparison of artificial neural network and time series models for forecasting GDP in Palestine
Time series of quarterly observations on Gross Domestic Product (GDP) is collected and used in this study. Forecasting results of ANNs are compared with those of the Autoregressive Integrated Moving Average (ARIMA) and ...