… machine (ATM) cash withdrawal time series of a large Indian commercial bank and forecast
the withdrawals using deep learning (… We first modelled the chaos present in the withdrawal …

… the ATM cash withdrawal time series of a big Indian bank and forecast the withdrawals using
deep learning methods… We first modelled the chaos present in the withdrawal time series by …

… Alongside the contributions already mentioned, this study aims to fill the gap and propose
a comprehensive evaluation for ATM cash demand prediction both before and during the …

… artificial neural networks for cash demand forecasting problem… affecting the cash withdrawal
and the actual cash demand. … the output variable – cash demand forecast using values of …

… the ATM cash withdrawal time series of a big Indian bank and forecast the withdrawals using
deep learning methods… We first modelled the chaos present in the withdrawal time series by …

… of ATMs cash demand forecast and we can reduce the ATMs store … deep learning method.
It is suggested that we use other deep learning methods for this prediction, such as the deep …

… properties of neural network can be very pure. Therefore we proposed a special algorithm
for preparing of flexible neural network for cash demand prediction for every local ATM. The …

… MLFF is one of the most common NN structures, as they are simple and effective, and have
been employed in a wide assortment of machine learning applications. MLFF starts as a …

… As a result, each ATM will have two different machine learning models. The other … cash
demand forecasting methods for automatics teller machines ATM shows tolerable forecasting …

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