… and Van den Poel (2006) include the cluster indicators as one of the predictors in the churn
attrition model, this paper builds a separate cash demand forecasting model per ATM cluster. …

… ATM cash demand forecasting method as an applied alternative to time series-based cash
… range, but the forecasting accuracy cannot guarantee to meet cash needs and it has no …

… networks for cash demand forecasting problem. The general idea behind the ANN is to allow
the network to … factors affecting the cash withdrawal and the actual cash demand. Once this …

… For efficient cash management in the ATM network we must first create the models for
cash demand for every ATM using historical data about cash-in and cash-out transactions. …

… machine (ATM) cash withdrawal time series of a large Indian commercial bank and forecast
the … For forecasting the future cash withdrawals, we employed (i) statistical technique namely …

… Abstract—a comparative study between NARMAX and NARX models developed with ANN
and SVM when used to forecast cash demand for ATMs is conducted. A simple methodology …

… in the ATM cash withdrawal time series of a big Indian bank and forecast the withdrawals …
For forecasting the future cash withdrawals, using algorithms namely ARIMA, random forest (…

… • Cash demand forecast for every ATM is based on linear regression models with seasonality
coefficients. The development of such models is relatively complicated and differs for …

… for forecasting ATM cash demand in this research include: forecasting by statistical method,
artificial neural network … of ATMs cash demand forecast and we can reduce the ATMs store …

… The existing literature about ATM cash demand forecasting is divided into two groups. The
first group includes studies on demand forecasting at daily level. There are several studies on …