Extent of error control in neural networks

TL;DR

This paper addresses controlling the error in neural networks with variable signal conductivity, focusing on their application in timetable construction and framing it as a dynamic system control problem.

Contribution

It introduces a method for error control in neural networks with variable conductivity, specifically tailored for timetable construction tasks.

Findings

Successfully formulated the error control as a dynamic system problem

Provided solutions for feedback control in these neural networks

Enhanced the reliability of neural networks in timetable applications

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.