… the ATMcashwithdrawal time series of a big Indian bank and forecast the withdrawals using deeplearning 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 ATMcashdemandprediction both before and during the …
R Simutis, D Dilijonas, L Bastina - 20th International Conference …, 2008 - morphisinc.com
… artificial neuralnetworks for cashdemandforecasting problem… affecting the cashwithdrawal and the actual cashdemand. … the output variable – cashdemandforecast using values of …
… the ATMcashwithdrawal time series of a big Indian bank and forecast the withdrawals using deeplearning methods… We first modelled the chaos present in the withdrawal time series by …
… of ATMscashdemandforecast and we can reduce the ATMs store … deeplearning method. It is suggested that we use other deeplearning methods for this prediction, such as the deep …
R Simutis, D Dilijonas, L Bastina… - … intelligence, man-machine …, 2007 - academia.edu
… properties of neuralnetwork can be very pure. Therefore we proposed a special algorithm for preparing of flexible neuralnetwork for cashdemandprediction for every local ATM. The …
K Venkatesh, V Ravi, A Prinzie… - European Journal of …, 2014 - Elsevier
… MLFF is one of the most common NN structures, as they are simple and effective, and have been employed in a wide assortment of machinelearning applications. MLFF starts as a …
M Rafi, MT Wahab, MB Khan… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
… As a result, each ATM will have two different machinelearning models. The other … cash demandforecasting methods for automatics teller machines ATM shows tolerable forecasting …
SM Darwish - International journal of Computer and electrical …, 2013 - academia.edu
… ATMcashdemandforecasting 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 …