Voice Communication Network Quality of Service Estimation and Forecast Based on Cloud Model

Article Preview

Abstract:

This article introduces cloud model to estimation of quality of service for voice communication network. It presents ideas of design, implementation procedure, carries out analysis of related key techniques, puts forward an improved backward cloud generator algorithm and conducts validating experiments. The results show that this model can handle the fuzziness and randomness of voice communication network well, adjust to uncertainty that hyper-entropy brings, reduce the impact of human factors, estimate grade of quality of service for voice communication network correctly and provide strong fundaments for further proper measures. It preserves the inherent uncertainty in the process of estimating at most and improves reliability of estimating results.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3463-3467

Citation:

Online since:

January 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Li Dey , Chang-Yu Liu , Wen-Yan Gan . A New Cognitive Model: Cloud Model[ J]. International Journal of Intelligent Systems,2009, 24(4): 357-375.

Google Scholar

[2] De-Yi Li, Yi Du. The Artificial Intelligence of Uncertainty[M].Beijing: National Defense Industry Press,2005.

Google Scholar

[3] P JBentley, J Green Smith, Sui Jin. Two Ways to Grow Tissue for Artificial Immune Systems[C]. Proc of the 4th Int Conference on Artificial Immune Systems, 2005·139-152.

DOI: 10.1007/11536444_11

Google Scholar