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