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Using ANNs and ARIMA Models to Make Accurate Forecasts for Palestinian Official Statistics Based on Simulation and Empirical Applications
(الجامعة الإسلامية - غزة, 2017)
Accuracy of forecasts of economic indicators is a major concern of statistical and economics departments. Over the past three decades there has been growing literature on applications of artificial neural networks (ANNs) ...
A comparison of artificial neural network and time series models for forecasting GDP in Palestine
(2016)
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 ...
Artificial Neural Networks Approach to Time Series Forecasting for Electricity Consumption in Gaza Strip
(الجامعة الإسلامية - غزة, 2013)
This paper introduces two robust forecasting models for efficient forecasting, Artificial Neural Networks (ANNs) approach and Autoregressive Integrated Moving Average (ARIMA) models. ANNs approach to univariate time series ...