The Application Of The Artificial Neural Network In The Fixed Term Deposit Of The Bank

The savings deposit is one of the main business of the bank, the amount of savings deposits is the lifeline of the bank. With the Internet financial products have been developed, competitive pressures faced by banks is growing, how to survive in the competition becomes more and more difficult. With the arrival of the era of big data, more and more enterprises begin to use the data to guide their decisions, and the bank itself has accumulated a large amount of data.In this paper, using the data mining software SAS Enterprise Miner, a Portuguese bank deposit data for the data source. First of all, exploratory data analysis, found that there are some problems such as missing data and data inconsistency and so on; then, the data is preprocessed, including the missing data interpolation, to delete inconsistent records and to standardize variables; then, using the handling data to train an optimal artificial neural network model; finally, using the model to predict the test set, the model prediction accuracy rate is93.4%. In addition, this paper also puts forward some constructive suggestions on the bank.