This paper proposes to model chaos in the automated teller machine (ATM) cash withdrawal
time series of a large Indian commercial bank and forecast the withdrawals using deep …

This paper proposes to model chaos in the ATM cash withdrawal time series of a big Indian
bank and forecast the withdrawals using deep learning methods. It also considers the …

One of the problems related to the banking system is Automated Teller Machine (ATM) cash
demand forecasting. If an ATM faces a shortage of cash, it will face the decline of bank …

Cash forecasting is one of the important tasks in the domain of computational finance. A
number of tools have been developed by various groups of researchers and are being used …

One of the main challenges in today's banking industry is to forecast the cash demand of
their ATM network. Each ATM must be filled with the right amount so that neither a …

Forecasting ATM cash demands is a challenging research task. When the forecasting results
are too high compared to the real demand, this will cause excessive cash at bank's ATMs …

In this paper, we employed both traditional and chaotic approaches for time series
forecasting. It concerns the forecasting of cash withdrawal amounts at automated teller …

Abstract Artificial Neural Networks are universal and highly flexible function approximators
first used in the fields of cognitive science and engineering. In recent years, Neural Networks …

The increasing demand for easily accessible cash drives banks to expand their Automatic
Teller Machine networks. As the network increase it becomes more difficult to supervise it …

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 …