Intellectual control of the electrolysis process in the production of caustic soda

¹ Tashkent State technical University, Electronics and automatical faculty, Tashkent, 100095, Uzbekistan
² Navoi State University of Mining and Technologies, Department of Automation and Control, Energy-mechanics faculty, Navoi, 210100, Uzbekistan

^* Corresponding author: olim81@bk.ru

Abstract

This article is based on the modeling of the operating mode of the membrane electrolyzer in the production of caustic soda through a neural network. In the course of work, a neural network model of the operation of the electrolyzer element was developed. Neural network software was used to create and train neural networks. The purpose of this work is to create an accurate model of the electrolyzer element using the following tasks was to create: the process of designing optimal structures of neural networks and their training, creating an electrolyzer model by training neural networks, as well as processing the modeling results. As a result of this work, a neural network model was developed, which allows to quickly and accurately calculate the result of the operation of the electrolyzer under any initial conditions.