基于自组织地图的信用决策系统

J. Bozsik, Maksay Dorottya, I. Zsolt
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引用次数: 1

摘要

信用等级是评价公司的信用等级。传统的评估依赖于需要分析大量数据的算法和复杂的程序。本文的目的是展示一种利用人工智能进行财务分类的新方法。该方法是利用神经网络对数据进行分析,得到准确可靠的结果。除了介绍理论算法外,本文还详细介绍了评估过程的各个阶段以及程序开发过程中出现的问题的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creditworthiness decision-making system based on self-organising maps
Credit rating evaluates the creditworthiness of a company. The evaluation traditionally relies on algorithms and sophisticated programs requiring the analysis of a large amount of data. The aim of this article is to demonstrate a new method of financial classification, which uses artificial intelligence. This method is based on the analysis of data using a neural network to get accurate and reliable results. In addition to presenting the theoretical algorithm, this article details the phases of evaluation process and solutions to problems that emerged during program's development.
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