Method and system for intelligently adding and clearing bank notes for bank ATMs based on machine learning

The invention provides a method and system for intelligently adding and clearing bank notes for bank ATMs based on machine learning. The method comprises the steps: S1, historical transaction data andholiday data of the bank ATMs are subjected to wide table processing and sample splitting; S2, modeling is conducted based on an ARIMA model of the time sequence, and model training is conducted through a training sample; and S3, after model training is completed, a predicting sample is input, and the model can output the predicting result, namely the daily withdrawal amount of the next seven days. The system comprises a wide table processing module, a sample splitting module, a model building module, a sample training module and a predicting module. On the basis of the ARIMA model of the time sequence, the future withdrawal amount is predicted through historical withdrawal data of the self-service equipment, and by combining with the cost and the coverage rate, the optimal bank note adding amount and the optimal