A Neuro-Classification Model for Socio-Technical Systems

Dumitru Nastac, Angelica Bacivarov and Adrian Costea
Additional contact information
Angelica Bacivarov: Polytechnic University of Bucharest
Adrian Costea: Bucharest Academy of Economic Studies

Journal for Economic Forecasting, 2009, vol. 6, issue 3, 100-109

Abstract: This paper presents an original classifier model based on an artificial neural network (ANN) architecture that is able to learn a specific human behavior and can be used in different socio-economic systems. After a training process, the system can identify and classify a human subject using a list of parameters. The model can be further used to analyze and build a safe socio-technical system (STS). A new technique is applied to find an optimal architecture of the neural network. The system shows a good accuracy of the classifications even for a relatively small amount of training data. Starting from a previous result on adaptive forecasting, the model is enhanced by using the retraining technique for an enlarged data set.

Keywords: artificial neural network; training process; classification; socio-technical system (search for similar items in EconPapers)
JEL-codes: A13 C45 C89 C90 Z13 (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.ipe.ro/rjef/rjef3_09/rjef3_09_8.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rjr:romjef:v:6:y:2009:i:3:p:100-109

Access Statistics for this article

Journal for Economic Forecasting is currently edited by Lucian Liviu Albu and Corina Saman

More articles in Journal for Economic Forecasting from Institute for Economic Forecasting Contact information at EDIRC.
Bibliographic data for series maintained by Corina Saman ( this e-mail address is bad, please contact ).