PREPARATION OF STATISTICAL AGGREGATE HISTORICALLY FORMED GEOMETRICAL ORNAMENTAL SYSTEMS FOR THE ANALYSIS OF NEURAL NETWORKS ABSTRACT

Abstract

This paper researches with the need to adaptation possibilities new information processing methods for process before projects training in the fine arts; analyzes the advantages and disadvantages of using artificial neural networks in the analysis of geometrical ornamental systems in historical classifications. The analysis of the factors affecting the quality of the statistics of neural networks. The proposed model for classification of statistical aggregates ornamental systems.