DocumentCode :
2217224
Title :
Wireless communication reliability prediction based on Support Vector Regression
Author :
Qun, Pan ; Lin, Wang ; Yan-bin, Zhuang
Author_Institution :
Chang Zhou Inst. of Technol., Changzhou, China
Volume :
4
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
The Support Vector Regression method have complete statistical learning theory basis and excellent performance on small samples. Based on the introduction of support vector regression method, the paper introduced Support Vector Machine (SVM) into wireless communication network reliability prediction. Using support vector regression method, the reliability prediction model of wireless communication network was established. Verification of actual data and comparison with BP neural network method shows that the model has feasibility and superiority in the reliability prediction of wireless communication network.
Keywords :
radiocommunication; regression analysis; support vector machines; telecommunication computing; telecommunication network reliability; statistical learning theory; support vector machine; support vector regression; wireless communication network reliability prediction; Artificial neural networks; Integrated circuits; Reliability; reliability prediction; support vector machine; wireless communication network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579094
Filename :
5579094
Link To Document :
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