Models and Algorithms for Decision Support of the Information System for Accounting Foreign Currency Transactions Based on a Neural Network
摘要
Abstract
This article presents the results of an analysis of the activities of a credit institution that conducts foreign exchange transactions with to optimize and automate them based on neural networks. It shows the model and algorithms of the functioning of the decision support system of an information system for accounting for foreign exchange transactions with BPMN and UML, as well as the developed functional model of decision-making by a participant in a financial transaction.