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A Neuro-Classification Model for Socio-Technical Systems

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Author Info
Nastac, Iulian (Polytechnic University of Bucharest)
Bacivarov, Angelica (Polytechnic University of Bucharest)
Costea, Adrian (Bucharest Academy of Economic Studies)
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.

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File URL: http://www.ipe.ro/rjef/rjef3_09/rjef3_09_8.pdf
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Publisher Info
Article provided by Institute for Economic Forecasting in its journal Romanian Journal for Economic Forecasting.

Volume (Year): 6 (2009)
Issue (Month): 3 (September)
Pages: 100-109
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Handle: RePEc:rjr:romjef:v:6:y:2009:i:3:p:100-109

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Related research
Keywords: artificial neural network; training process; classification; socio-technical system;

Find related papers by JEL classification:
A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values
C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
Z13 - Other Special Topics - - Cultural Economics - - - Social Norms and Social Capital; Social Networks Economic Anthropology

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This page was last updated on 2009-11-17.

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