Investigation of the Heat Exchange Characteristics of Chlorobenzene in an Electric Field by Means of a Neural Network Model


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Computational experiment was carried out using a neural network model that makes it possible to extract new knowledge from experimental data. Certain features and regularities of the heat exchange of chlorobenzene in an electric field have been identified.

Sobre autores

A. Mukhutdinov

Kazan National Research Technological University

Autor responsável pela correspondência
Email: muhutdinov@rambler.ru
Rússia, Kazan

M. Efimov

Kazan National Research Technological University

Email: muhutdinov@rambler.ru
Rússia, Kazan

Z. Vakhidova

Kazan National Research Technical University named after A. N. Tupolev

Email: muhutdinov@rambler.ru
Rússia, Kazan

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