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USE OF NEURAL NETWORK SIMULATION FOR IMPROVING THE EFFICIENCY OF TRAINING AND TESTING COMPLEX FUNCTIONING

Abstract

This article outlines the features of the introduction of the training and testing program in terms of the selection and justification of the parameters of technological schemes for the development of thick seams with the release of coal from the roof coal. The use of neural network modeling of the load on the longwall as a basic element of the comparative assessment of the technological scheme proposed option will improve the program performance in the educational process in terms of increase in the assessement objectivity of the students’ answers. 

About the Authors

A.N. Domrachev
Siberian State Industrial University
Russian Federation


S.V. Rib
Siberian State Industrial University


Review

For citations:


Domrachev A., Rib S. USE OF NEURAL NETWORK SIMULATION FOR IMPROVING THE EFFICIENCY OF TRAINING AND TESTING COMPLEX FUNCTIONING. Bulletin of the Siberian State Industrial University. 2020;(4):44-46. (In Russ.)

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ISSN 2304 - 4497 (Print)
ISSN 2307-1710 (Online)