DocumentCode :
2746119
Title :
Study on the Support Vecter Machine (SVM) Model of Aircraft Economic Classification with Application in China
Author :
Li, Xiao-Jin ; Zhao, Shu-Long
Author_Institution :
Econ. & Manage. Coll., Civil Aviation Univ. of China, Tianjin, China
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
177
Lastpage :
179
Abstract :
In this paper, according to the principle of 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, in China, the model is used in the practice, the testing result is able to reflect out accurately characteristics of the data, and closely with the value of passenger enjoyed services.
Keywords :
aircraft; economics; support vector machines; transportation; ICAO; aircraft economic classification; passenger enjoyed services; support vector machine model; Aircraft manufacture; Aircraft propulsion; Economic indicators; Educational institutions; Electronic commerce; Kernel; Machine intelligence; Support vector machine classification; Support vector machines; Testing; SVM; actual loading weight; aircraft classification; maximum takeoff weight (MTOW);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Commerce and Business Intelligence, 2009. ECBI 2009. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3661-3
Type :
conf
DOI :
10.1109/ECBI.2009.65
Filename :
5189513
Link To Document :
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