Extent of error control in neural networks
Optimization and Control
2016-08-17 v1
Abstract
The article sets and solves the task to control an error of the artificial neural network with variable signal conductivity. This kind of neural networks was especially developed to construct timetables. Behavior of such a neural network can be described as dynamic system control problem. The authors gave as the results of the solving the ANN feedback control problem.
Keywords
Cite
@article{arxiv.1608.04682,
title = {Extent of error control in neural networks},
author = {Alexander Ignatenkov and Alexey Olshansky},
journal= {arXiv preprint arXiv:1608.04682},
year = {2016}
}
Comments
7 pages, 1 figure, 11 references