Work

Formation of a Database for Deep Learning of a Neural Network

Year: 2022

Type: article

Abstract: The research presents a method for applying a statistical mathematical model in the process of generating a database for training an artificial neural network. The study was carried out on the example of predicting the physicochemical properties of a model of multicomponent mixture of diesel fuel and hydrogen-containing gas. As a result, a neural network was obtained, which determines the desired values with an error of 0.2%. This will allow the use of a neural network in dynamic systems for assessing process equipment fouling from the investigated hydrocarbon mixture without the use of third-party software products

Source: Applied Mathematics and Fundamental Informatics

DOI: 10.25206/2311-4908-2022-9-3-30-36

Authors: M. I. Babidorich, E. V. Docenco, A. M. Demin, O. A. Reutova

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4387547710

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