Improving the accuracy of the laser control system

The paper analyzes the possibility of improving the metrological accuracy of a device for control a laser system for measuring the geometric dimensions and surface quality of parts, due to the use of an artificial neural network. The possibility of taking into account the internal and external factors affecting the measurement result, which can be the basis for the formation of the initial data sets used by the computer model of the neural network on a multilayer perceptron has been proved.