Using Neuromodels for Evaluating and Determining Productivity Technical Processes

Abstract

The paper is devoted to solving the actual problem of creating mathematical support for constructing models for evaluating and monitoring the performance of technical and production processes. Since the known methods have a number of disadvantages, it is proposed to use artificial neural networks as a basis for models. During the synthesis of neuromodels, two methods will be used to compare their performance characteristics. The obtained models are planned to be used for further research and design of special control systems for technical processes.