Prediction of turbojet performance by using artificial neural network-Reference-Cited by-同舟云学术

Prediction of turbojet performance by using artificial neural network

Published:2021-12 Issue: Volume: Page:
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Mohammed Mortda,Taher Maher K.,khudhair Saleh

Publisher

Elsevier BV

Subject

General Medicine

Reference28 articles.

1. Gas turbine engine control design using fuzzy logic and neural networks;Bazazzadeh;Int. J. Aerosp. Eng.,2011

2. H. Asgari, X.Q. Chen, R. Sainudiin, Modelling and simulation of gas turbines, Int. J. Model. Identif. Control 20(3) 253-270.

3. H. Asgari, X.Q. Chen, R. Sainudiin, Considerations in modelling and control of gas turbines - A review, in: Proceedings - 2011 2nd International Conference on Control, Instrumentation and Automation, ICCIA 2011, 2011, pp. 84–89.

4. S. Chiesa, G. Medici, M. Balbo, Turbojet analytical model development and validation, in: 28th Congress of the International Council of the Aeronautical Sciences 2012, ICAS 2012, 2012, vol. 3, pp. 2502–2511.

5. Modeling and analysis of jet engine with cooling turbine;Jakubowski;J. KONES. Powertrain Transp.,2015

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