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Method for intelligently adding money to bank ATM based on artificial intelligence

An artificial intelligence, banking technology, applied in the field of intelligent applications, can solve problems such as regional differences that cannot be used

Active Publication Date: 2020-09-08
深圳市星耀蓝图科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is relatively traditional, and it is impossible to use the different attributes of each outlet to treat regional differences in the demand for banknote additions

Method used

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  • Method for intelligently adding money to bank ATM based on artificial intelligence
  • Method for intelligently adding money to bank ATM based on artificial intelligence
  • Method for intelligently adding money to bank ATM based on artificial intelligence

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Embodiment Construction

[0042] The technical solutions and beneficial effects of the present invention will be described in detail below in conjunction with specific embodiments.

[0043] The present invention provides a kind of method based on artificial intelligence to bank ATM intelligence adding banknote, introduces part attribute data in training data, then adopts artificial intelligence technology modeling, thereby can accurately predict bank adding banknote amount, specifically comprises the following content:

[0044] 1. Use the counter data of outlets to calculate outlet attribute data:

[0045] 1.1 The number of counter transactions n deal : To handle business at the counter of a bank branch, each business will generate a piece of corresponding flow data, which will be recorded in the counter system. The number of transaction records in the counter system every day is the number of counter transactions.

[0046] 1.2 Number of customers n cus : In the flow records of the counter system, eac...

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Abstract

The invention discloses a method for intelligently adding money to a bank ATM based on artificial intelligence, and the method comprises the steps: firstly collecting an attribute data matrix XDay, kof a website k at a date Day, and a cash withdrawal result data matrix YDay, k of the website k at the date Day; longitudinally combining the XDay, k, YDay and k into matrixes Xk and Yk according to atime sequence; for attributes corresponding to each column in the matrix Xk, calculating attribute importance of the attributes, selecting M attributes ranked in the top, and deleting columns corresponding to all attributes ranked behind the M attributes in the matrix Xk to obtain a matrix Xsel, k; xsel, k is used as input, Yk is used as output, and a model Modelbest between Xsel and k is established; on the basis of the model Model < best >, according to the current day attribute data of the website k, calculating to obtain a cash withdrawal predicted value CDay + 1, k of the next day, thencalculating Bk * CDay + 1, k * Twin to obtain a predicted value of a cash withdrawal total amount of the future Twin day, and further obtaining a cash replenishing amount of the website; wherein Bk isthe cash withdrawing median of the dot k. The method can accurately predict the money adding demand amount of the bank ATM.

Description

technical field [0001] The invention belongs to the field of big data analysis in the financial industry, and in particular relates to an intelligent application of a technical method based on the field of artificial intelligence in bank outlets ATMs adding banknotes. Background technique [0002] The operation of adding banknotes at ATMs at bank outlets has always been an important part of bank outlet operations. On the one hand, banks hope to store enough cash in the ATM machines at outlets to meet customers' demand for cash withdrawals; Keep more cash in the ATM machine to reduce the cost of using cash. The general bank operation policy separates the cash withdrawal and deposit of the customer at the ATM machine. Therefore, according to the customer's cash withdrawal behavior of ATM machines at outlets, it is possible to make more intelligent management of cash additions, thereby reducing the cost of bank cash usage. [0003] So far, the relevant intelligent banknote ad...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q40/02G06K9/62G07D11/20
CPCG06Q10/04G06Q40/02G07D11/20G06F18/24323
Inventor 林星吴佳霖张振鑫陈峥
Owner 深圳市星耀蓝图科技有限公司