title: Hybrid neural intelligent system to predict business failure in small-to-medium-size enterprises.
abstract: 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.
authors.affiliation: Department of Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, Ourense, 32004, Spain. lborrajo@uvigo.es
authors.forename: M Lourdes
authors.initials: ML
authors.lastname: Borrajo
authors.forename: Bruno
authors.initials: B
authors.lastname: Baruque
authors.forename: Emilio
authors.initials: E
authors.lastname: Corchado
authors.forename: Javier
authors.initials: J
authors.lastname: Bajo
authors.forename: Juan M
authors.initials: JM
authors.lastname: Corchado
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003132:Commerce / Q000191:economics*; D006801:Humans; D020407:Internet; D018803:Models, Economic; D016571:Neural Networks, Computer