… In this work we forecast the daily ATM cash demand using dynamic models of type
Nonlinear Autoregressive Exogeneous inputs (NARX) and Nonlinear Autoreggressive Moving …

… We use well known support vector machine public software library LIBSVM (Chang and
Lin, 2001) in our experimental investigations. When training an SVR model, user must choose …

… assessing the level of cash in an ATM and replenishing cash in the machine accordingly [1]. …
the cash demand for an ATM and try to explore the possibilities of an in-house cash demand …

… To improve ATMs’ cash demand forecasts, this paper advocates the prediction of cash
demand for groups of ATMs with similar day-of-the week cash demand patterns. We first clustered …

… [5] clustered the ATMs with the similar day of the week cash demand patterns and applied four
… [33] proposed a version of Support Vector Machines [34] to deal with regression problems …

… The overarching goal of this paper is to accurately forecast ATM cash demand for periods …
affect the cash withdrawal pattern. Then, several statistical and machine learning models …

… of daily cash demand series within cash supply … daily cash demand and the potential of
joint forecasting in cash supply chains. An analysis of forecasting daily currency demand in cash …

… [9] Guo, G., Wu, X., Zhuo, S., Xu, P., Cao, B., 2008, Prediction state of charge of Ni-MH battery
pack using support vector machines for hybrid electric vehicles, IEEE Vehicle Power and …

… The aim was to predict the cash … machine learning techniques which are exploited by data
scientists to generate models for time series forecasting such as support vector machine (SVM)…

… Retroactive ATM cash withdraw data is used to assess the effectiveness of various refilling
… NN5 cash needs using support vector machines (SVMs) as the most promising machine …