TY - JOUR
TI - Forecasting under applying machine learning and statistical models
AU - Elhag Azhari A
AU - Abu-Zinadah Hanaa
JN - Thermal Science
PY - 2020
VL - 24
IS - 11
SP - 131
EP - 137
PT - Article
AB - In a different area of a field of the real life, problem of accurate  forecasting has acquired great importance that present the interesting serve  which led to the best ways to achieve a goal. So, in this paper, we aimed to  compare the accuracy of some statistical models such as Time Series and Deep  Learning models, to forecasting the fertility rate in the Kingdom of Saudi  Arabia, the data source is the World Health Organization over the period of  1960 to 2019. The performances of models were evaluated by errors measures  mean absolute percentage error.