Title :
Machine learning in fuel consumption prediction of aircraft
Author_Institution :
Univ. of New South Wales, Sydney, NSW, Australia
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;
Conference_Titel :
Cognitive Informatics (ICCI), 2010 9th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8041-8
DOI :
10.1109/COGINF.2010.5599714