BirthRates Forecasting based on Artificial Neural Networks Versus Time Series Models

Birthrates forecasting can help decision-makers to understand population increment patterns, in addition to many issues that support governmental decisions, especially in developing countries as Yemen. Data Mining has important new emerged technologies, support business, and decision-making requirements. Forecasting is one of Artificial Neural Networks (ANN) and Time Series (TS) applications, as data mining techniques. In this paper, birthrates two forecasting models have experimented with. The ANN and TS are used for forecasting Yemeni hospital births data. Monthly birthrates data of four years are processed by each model. The forecasting of monthly next four years had produced, based on each model. Outcomes evaluation is showed the accuracy of forecasting results. Besides, TS outperforms the ANN model, in the context of monthly births data forecasting of Yemeni hospital data.