DocumentCode
2539919
Title
Machine learning in fuel consumption prediction of aircraft
Author
Li, Guanzhong
Author_Institution
Univ. of New South Wales, Sydney, NSW, Australia
fYear
2010
fDate
7-9 July 2010
Firstpage
358
Lastpage
363
Abstract
Nowadays, as fuel is an important resource for the whole world, researchers are trying a variety machine learning models for fuel flow prediction in industry, aerospace specifically. Different machine learning models have been applied in different applications. This paper will analyze these applications. Many useful points have been found by comparison of those experimental results.
Keywords
aerospace engineering; fuel; learning (artificial intelligence); aircraft fuel consumption prediction; industrial fuel flow prediction; machine learning model; Aircraft; Artificial neural networks; Atmospheric modeling; Fuels; Machine learning; Predictive models; Trajectory; Fuel consumption; Machine Learning; Multi-Layer Perceptron; aircraft;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics (ICCI), 2010 9th IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-8041-8
Type
conf
DOI
10.1109/COGINF.2010.5599714
Filename
5599714
Link To Document