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 proper-ties 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.