The adherence of the object oriented programming paradigm on the simulation of artificial neural networks

The research in artificial neural networks has been growing in the last ten years, with the rising of several possible new applications. Nevertheless the designers of such applications have found great difficulty primarily in the concrete implementation of the artificial neural networks, so that most designers need to use especial helping tools. Among these tools, perhaps the most important is the digital simulation, where it is possible to build virtual models and test them before their practical implementation. The present text analyses the relationship that exist between the general artificial neural network digital simulation and the object oriented programming paradigm, pointing out the similarities between them, especially those structural ones