Neuronal networks searching equilibrium for a dynamic economic model

Neuronal networks searching equilibrium for a dynamic economic model

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Article ID: iaor20063420
Country: Spain
Volume: 2
Issue: 1
Start Page Number: 57
End Page Number: 71
Publication Date: May 1997
Journal: Fuzzy Economic Review
Authors: ,
Keywords: fuzzy sets, neural networks
Abstract:

This implementation searches the convergence properties of deterministic recurrent neural networks like those involving business competition, demand analysis, market equilibrium and distribution systems. These periodic dynamic models have stability properties visualised by means of computational experiments and theoretical justifications. This work consists of five basic sections, i.e., Section 1 gives a detail of the model and it is divided into two subsections, Subsection 1.1 contains the explanation of a simple economic model within equilibrium in networks and Subsection 1.2 describes the artificial neural network. Section 2 consists in theoretical justifications with rhythmical visualisation of particular cases, that is developed in five sub-sections. Section 3 makes evident the lack of perfect retrieval patterns. Section 4 answers to the money lenders market equilibrium by means of this neuronal context and, finally, Section 5 presents the conclusions.

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