STUDY OF THE EFFECT OF PRECESSION OF THE SPIN STRUCTURE AS AN ELEMENT RECOGNITION SYSTEM WITH THE USE OF NEURAL NETWORKS

The work of complex structures recognition matrix type with a specific task in different branches of science, can be built with the help of the theory of neural networks, and in most cases these systems belong to a heterogeneous type. If this describes a simple dichotomous structure type with the use of forward-propagation neural network - layer perceptron. Considered the effect of precession as neural pattern recognition, using the fundamentals of spintronics.