Preventive Detection of Economic Problems by means of Neuron Networks

Stanimir Kabaivanov

Economic Thought journal, 2010, issue 5, 103-115

Abstract: The methods of detecting economic problems at different levels are focused in this study with comments on their restrictions and shortcomings. A common analysis scheme is offered, using artificial intelligence systems – neuron networks, where the available patterns could be integrated and supplemented. A pattern is proposed to study the market index development and to analyze any potential collapses, which was tested to analyze the SOFIX index under the capital market conditions in Bulgaria.

JEL-codes: C45 G17 G32 (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:bas:econth:y:2010:i:5:p:103-115

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