Results of research on development of an intellectual information system of bankruptcy risk assessment of the enterprise; IOP Conference Series: Materials Science and Engineering; Vol. 93: Modern Technique and Technologies (MTT'2015)

Results of research on development of an intellectual information system of bankruptcy risk assessment of the enterprise; IOP Conference Series: Materials Science and Engineering; Vol. 93: Modern Technique and Technologies (MTT'2015)

Détails bibliographiques
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 93: Modern Technique and Technologies (MTT'2015).— 2015.— [012058, 5 p.]
Collectivité auteur: Национальный исследовательский Томский политехнический университет (ТПУ) Юргинский технологический институт (филиал) (ЮТИ) Кафедра информационных систем (ИС)
Autres auteurs: Telipenko E. V. Elena Viktorovna, Chernysheva T. Yu. Tatiana Yurievna, Zakharova A. A. Aleksandra Aleksandrovna, Dumchev A.
Résumé:Title screen
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.
Режим доступа: по договору с организацией-держателем ресурса
Langue:anglais
Publié: 2015
Collection:Control science and system engineering
Sujets:
электронный ресурс
труды учёных ТПУ
интеллектуальные системы
информационные системы
риски
банкротство
предприятия
Accès en ligne:http://dx.doi.org/10.1088/1757-899X/93/1/012058
http://earchive.tpu.ru/handle/11683/20074
Format: Électronique Chapitre de livre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=644558

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