Cash demand forecasting in ATMs by clustering and neural networks

European Journal of Operational Research

Volumn 232, Issue 2, 2014, Pages 383-392

  Venkatesh, Kamini ^a   Ravi, Vadlamani ^a   Prinzie, Anita ^b   Van Den Poel, Dirk ^b  

^a INSTITUTE FOR DEVELOPMENT AND RESEARCH IN BANKING TECHNOLOGY   (India)

^b GHENT UNIVERSITY   (Belgium)

Author keywords

ATM cash withdrawal forecasting; Clustering; Neural networks; SAM method; Time series

Indexed keywords

CLUSTERING; GENERAL REGRESSION NEURAL NETWORK; GROUP METHOD OF DATA HANDLING; MEAN ABSOLUTE PERCENTAGE ERROR; MULTILAYER FEEDFORWARD NEURAL NETWORKS; SAM METHOD; SEQUENCE ALIGNMENT METHODS; WAVELET NEURAL NETWORKS;

NEURAL NETWORKS; TIME SERIES;

FORECASTING;

EID: 84883812239     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2013.07.027     Document Type: Article

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