ISJ Theoretical & Applied Science 02(10)2014

ISPC Scientific technologies of the future, Linkoping, Sweden

Tkachenko IM, Zakharov AA, Kozhanova ER

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

Full Article: PDF

Digital Object Identifier System: http://dx.doi.org/10.15863/TAS.2014.02.10.6

Language: Russian

Citation: Tkachenko IM, Zakharov AA, Kozhanova ER (2014) STUDY OF THE EFFECT OF PRECESSION OF THE SPIN STRUCTURE AS AN ELEMENT RECOGNITION SYSTEM WITH THE USE OF NEURAL NETWORKS. ISJ Theoretical & Applied Science, 02 (10): 40-43. doi: http://dx.doi.org/10.15863/TAS.2014.02.10.6

Pages: 40-43

Published: 28.02.2014

Abstract: 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.

Key words: neural network, recognition system, neuron, spin, precession effect.