Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс: http://earchive.tpu.ru/handle/11683/20074
Название: Results of research on development of an intellectual information system of bankruptcy risk assessment of the enterprise
Авторы: Telipenko, Elena Viktorovna
Chernysheva, Tatiana Yurievna
Zakharova, Aleksandra Aleksandrovna
Dumchev, A.
Ключевые слова: интеллектуальные системы; информационные системы; риски; банкротство; предприятия
Дата публикации: 2015
Издатель: IOP Publishing
Библиографическое описание: Results of research on development of an intellectual information system of bankruptcy risk assessment of the enterprise / E. V. Telipenko [et al.] // IOP Conference Series: Materials Science and Engineering. — 2015. — Vol. 93: Modern Technique and Technologies (MTT'2015) : 21th International Conference for Students and Young Scientists, 5-9 October 2015, Tomsk : [proceedings]. — [012058, 5 p.].
Аннотация: The article represents research results about the knowledge base development for the intellectual information system for the bankruptcy risk assessment of the enterprise. It is described the process analysis of the knowledge base development; the main process stages, some problems and their solutions are given. The article introduces the connectionist model for the bankruptcy risk assessment based on the analysis of industrial enterprise financial accounting. The basis for this connectionist model is a three-layer perceptron with the back propagation of error algorithm. The knowledge base for the intellectual information system consists of processed information and the processing operation method represented as the connectionist model. The article represents the structure of the intellectual information system, the knowledge base, and the information processing algorithm for neural network training. The paper shows mean values of 10 indexes for industrial enterprises; with the help of them it is possible to carry out a financial analysis of industrial enterprises and identify correctly the current situation for well-timed managerial decisions. Results are given about neural network testing on the data of both bankrupt and financially strong enterprises, which were not included into training and test sets.
URI: http://earchive.tpu.ru/handle/11683/20074
Располагается в коллекциях:Материалы конференций

Файлы этого ресурса:
Файл РазмерФормат 
dx.doi.org-10.1088-1757-899X-93-1-012058.pdf942,91 kBAdobe PDFПросмотреть/Открыть


Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.