The Braun machine as a classifier based on elementary physical phenomena in the classification of multivariate data sets

This article was presented to model the classifier algorithm based on elementary physical phenomena. The model for this is the result of research conducted by the author on the use of the mechanisms of physical phenomena in the classification of multidimensional data. In this article we have presented a model used for a classification of multidimensional data in a broader sense, called Braun’s cathode machine. The internal structure of the machine presented on this paper has been based on the architecture of a cathode-ray tube – Braun’s tube. For a machine model described this way a machine training algorithm has been proposed as well as response computing algorithms. In the final chapter we have presented the results of the machine tests for the notions connected with the classification and self-organization of multidimensional data.