Title :
The Model of Aircraft Economic Classification Based on Support Vecter Machine
Author :
Li, Xiao-Jin ; Zhao, Shu-Long
Author_Institution :
Econ. & Manage. Coll., Civil Aviation Univ. of China, Tianjin, China
Abstract :
Aircraft economic classification has played a fundamental role in field of civil aviation.With the increasing trend of internalizing the costs of aircraft, there is a need to analyze the relations of aircraft classification, its costs, include direct and indirect, and its passengers. In this paper, according to the principle of International Civil Aviation Organization (ICAO) which named as "user paid for by himself", the model of aircraft economic classification is set up based on the theory of support vector machine (SVM). Then, the model is used in the practice with a more stable, effective and applicable results.
Keywords :
aerospace engineering; support vector machines; International Civil Aviation Organization; aircraft economic classification; civil aviation; support vector machine; user paid for by himself; Aircraft propulsion; Airports; Costs; Economic indicators; Educational institutions; Engines; Government; Industrial relations; Support vector machine classification; Support vector machines; Airspace resources; SVM; actual loading weight(ALW); aircraft ecnomic classification; maximum takeoff weight (MTOW);
Conference_Titel :
Future Computer and Communication, 2009. FCC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3676-7