Structural optimization of the neural network model for the gas turbine engine monitoring
- 作者: Novikova S.V.1
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隶属关系:
- Tupolev Kazan National Research Technical University
- 期: 卷 59, 编号 2 (2016)
- 页面: 263-270
- 栏目: Automation of Design and Production of Aeronautical Equipment
- URL: https://journals.rcsi.science/1068-7998/article/view/229703
- DOI: https://doi.org/10.3103/S1068799816020185
- ID: 229703
如何引用文章
详细
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.
作者简介
S. Novikova
Tupolev Kazan National Research Technical University
编辑信件的主要联系方式.
Email: sweta72@bk.ru
俄罗斯联邦, ul. Karla Marksa 10, Kazan, Tatarstan, 420111
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