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


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Abstract

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.

About the authors

A. R. Mukhutdinov

Kazan National Research Technological University

Author for correspondence.
Email: muhutdinov@rambler.ru
Russian Federation, Kazan

M. G. Efimov

Kazan National Research Technological University

Email: muhutdinov@rambler.ru
Russian Federation, Kazan

Z. R. Vakhidova

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

Email: muhutdinov@rambler.ru
Russian Federation, Kazan

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