Time series forecasting plays a significant role in numerous applications, including but not limited to, industrial planning, water consumption, medical domains, exchange rates and consumer price index. The main problem is insufficient accuracy. present study proposes hybrid methods to address this need. proposed method includes three models. first model based on the autoregressive integrated m...

Rather than use historical data such as stock prices, the authors chose to use "generic" time-series data from, "the famous M-Competition." One hundred eleven sets were analyzed using various combinations of network architecture, learning rate, and momentum. The Box-Jenkins approach to time series forecasting is explained. For purposes of this experiment, the expert system, "AUTOBOX," was used ...

The time series prediction of avian influenza epidemics is a complex issue, because avian influenza has latent seasonality which is difficult to identify. Although researchers have applied a neural network (NN) model and the Box-Jenkins model for the seasonal epidemic series research area, the results are limited. In this study, we develop a new prediction seasonal auto-regressive-based support...

because of the increasing importance of supplying water for the country, water resource management is of paramount importance. predicting precipitation, as one of the most important climatic parameters, is especially important in using water supplies. time series can be used to predict precipitation. time series analysis seems to be a suitable tool for such forecasting. the present work studies...

Abstract—The objective of this research is to forecast the monthly exchange rate between Thai baht and the US dollar and to compare two forecasting methods. The methods are Box-Jenkins’ method and Holt’s method. Results show that the Box-Jenkins’ method is the most suitable method for the monthly Exchange Rate between Thai Baht and the US Dollar. The suitable forecasting model is ARIMA (1,1,0) ...

An autoregressive integrated moving average (ARIMA) model is useful to analyze time-series data either for better understanding or forecasting future points in the series. This paper aims and forecast GDP of Sri Lanka based on Box-Jenkins approach annual from 1971 2021. Box ? Jenkins technique a relatively advanced time series method it applied this at million US$ Lanka. The study attempt using...