Abstract: The problem of assessing the creditworthiness of the borrower is considered. The application of fuzzy neural networks for this problem solution was suggested. The experimental investigations of the adaptation and learning algorithms of fuzzy neural networks were carried out. The modification of adaptation and learning algorithms of fuzzy neural networks was suggested.

Keywords: fuzzy neural networks, credit rating, fuzzy logic, genetic algorithm

ACM Classification Keywords: H.4 Information systems applications - H.4.2. Types of Systems Decision Support

Link:

АНАЛИЗ ЭФФЕКТИВНОСТИ НЕЧЕТКИХ НЕЙРОННЫХ СЕТЕЙ В ЗАДАЧЕ ОЦЕНКИ КРЕДИТНОГО РИСКА

Шовгун Наталия

http://www.foibg.com/ijitk/ijitk-vol07/ijitk07-03-p11.pdf