Structural optimization of the neural network model for the gas turbine engine monitoring


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Abstract

The paper presents a technique of the neural network model reduction for the GTE operation mode monitoring during bench tests. The technique is based on the conversion of the neural network training task to the of multi-criteria optimization task.

About the authors

S. V. Novikova

Tupolev Kazan National Research Technical University

Author for correspondence.
Email: sweta72@bk.ru
Russian Federation, ul. Karla Marksa 10, Kazan, Tatarstan, 420111

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