Models and Algorithms for Decision Support of the Information System for Accounting Foreign Currency Transactions Based on a Neural Network

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-05-20 DOI:10.3103/S0005105525700013

I. E. Gagloeva

引用次数: 0

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.

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基于神经网络的外汇交易会计信息系统决策支持模型与算法

本文介绍了对一家信贷机构进行外汇交易活动的分析结果，该机构基于神经网络对外汇交易进行优化和自动化。展示了利用BPMN和UML进行外汇交易会计信息系统决策支持系统功能的模型和算法，以及开发的金融交易参与者决策的功能模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

40.00%

发文量

期刊介绍： Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.