| Issue |
MATEC Web Conf.
Volume 314, 2020
International Cross-Industry Safety Conference (ICSC) – International Symposium on Aircraft Technology, MRO and Operations (ISATECH) (ICSC-ISATECH 2019)
|
|
|---|---|---|
| Article Number | 02001 | |
| Number of page(s) | 11 | |
| Section | International Symposium on Aircraft Technology, MRO and Operations | |
| DOI | https://doi.org/10.1051/matecconf/202031402001 | |
| Published online | 29 May 2020 | |
Metaheuristics optimized machine learning modelling for estimation of exergetic emissions of a propulsion system
1
Eskisehir Technical University, Faculty of Aeronautics and Astronautics, TR-26470 Eskisehir, Turkey
2
Eskisehir Technical University, Faculty of Aeronautics and Astronautics, TR-26470 Eskisehir, Turkey
3
TUSAS Engine Industries, Eskisehir, Turkey
* Corresponding author: onder.turan@gmail.com
tbaklacioglu@eskisehir.edu.tr
onderturan@eskisehir.edu.tr
e-mail: tei.hakan@gmail.com
You This study offers a metaheuristic design for primary parameters and architectures of two models of artificial neural network (ANN) in predicting a business jet aircraft’s exergo-emission parameters, such us exergy destruction ratio (rex,dest) and waste exergy ratio (rwex), at different flight stages. In consideration of this, the development of hybrid genetic algorithm (GA)-ANN models has been achieved by considering real databases of rex, dest and rwex at various power levels. Implementing a metaheuristics-based optimization on the generated multilayer perceptron (MLP) ANN models has produced the most favorable initial network weights, step-size, biases as well as training algorithm’s back-propagation (BP) momentum rate in addition to optimal quantity of neurons in the hidden layer(s) with regard to the topology design. In accordance with an error assessment approach, there exists a close fit linking the reference real data and rwex (linear correlation ratio, R, value of 0.999851) as well as rex,dest (R value of 0.999985) predicted values.
© The Authors, published by EDP Sciences, 2020
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