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.