دورية أكاديمية

Hybrid neural intelligent system to predict business failure in small-to-medium-size enterprises.

التفاصيل البيبلوغرافية
العنوان: Hybrid neural intelligent system to predict business failure in small-to-medium-size enterprises.
المؤلفون: Borrajo ML; Department of Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, Ourense, 32004, Spain. lborrajo@uvigo.es, Baruque B, Corchado E, Bajo J, Corchado JM
المصدر: International journal of neural systems [Int J Neural Syst] 2011 Aug; Vol. 21 (4), pp. 277-96.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: World Scientific Pub. Co Country of Publication: Singapore NLM ID: 9100527 Publication Model: Print Cited Medium: Internet ISSN: 1793-6462 (Electronic) Linking ISSN: 01290657 NLM ISO Abbreviation: Int J Neural Syst Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Singapore ; Teaneck, N.J. : World Scientific Pub. Co., c1989-
مواضيع طبية MeSH: Algorithms* , Artificial Intelligence* , Models, Economic* , Neural Networks, Computer*, Commerce/*economics, Humans ; Internet
مستخلص: During the last years there has been a growing need of developing innovative tools that can help small to medium sized enterprises to predict business failure as well as financial crisis. In this study we present a novel hybrid intelligent system aimed at monitoring the modus operandi of the companies and predicting possible failures. This system is implemented by means of a neural-based multi-agent system that models the different actors of the companies as agents. The core of the multi-agent system is a type of agent that incorporates a case-based reasoning system and automates the business control process and failure prediction. The stages of the case-based reasoning system are implemented by means of web services: the retrieval stage uses an innovative weighted voting summarization of self-organizing maps ensembles-based method and the reuse stage is implemented by means of a radial basis function neural network. An initial prototype was developed and the results obtained related to small and medium enterprises in a real scenario are presented.
تواريخ الأحداث: Date Created: 20110803 Date Completed: 20111115 Latest Revision: 20191210
رمز التحديث: 20240628
DOI: 10.1142/S0129065711002833
PMID: 21809475
قاعدة البيانات: MEDLINE
الوصف
تدمد:1793-6462
DOI:10.1142/S0129065711002833