Application of the neural network training procedure to reconstruct an unknown influence on the temperature distribution of the boiler drum wall

The paper proposes a novel method for reconstructing an unknown input influence based on output measurements with a known dynamic model of the system. A feedforward neural network acts as a device for forming the vector of reference values of the unknown input influence. The dynamic model of the sys...

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Veröffentlicht in:	Vestnik Samarskogo universiteta. Aèrokosmičeskaâ tehnika, tehnologii i mašinostroenie (Online) Jg. 24; H. 3; S. 171 - 183
Hauptverfasser:	Danilushkin, I. A., Diligenskaya, A. N., Kolpashchikov, S. A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Samara National Research University 23.10.2025
Schlagworte:	back propagation algorithm feed forward neural network identification input influence object with distributed parameters steam boiler drum temperature distribution
ISSN:	2542-0453, 2541-7533
Online-Zugang:	Volltext
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