Operation quality assessment model for video conference system

Bangshi Du; Feng Qi; Sujie Shao; Ying Wang; Weijian Li

doi:10.1117/12.2296292

12 January 2018 Operation quality assessment model for video conference system

Bangshi Du, Feng Qi, Sujie Shao, Ying Wang, Weijian Li

Proceedings Volume 10621, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems; 1062123 (2018) https://doi.org/10.1117/12.2296292
Event: International Conference on Optical Instruments and Technology 2017, 2017, Beijing, China

Abstract

Video conference system has become an important support platform for smart grid operation and management, its operation quality is gradually concerning grid enterprise. First, the evaluation indicator system covering network, business and operation maintenance aspects was established on basis of video conference system’s operation statistics. Then, the operation quality assessment model combining genetic algorithm with regularized BP neural network was proposed, which outputs operation quality level of the system within a time period and provides company manager with some optimization advice. The simulation results show that the proposed evaluation model offers the advantages of fast convergence and high prediction accuracy in contrast with regularized BP neural network, and its generalization ability is superior to LM-BP neural network and Bayesian BP neural network.

Citation Download Citation

Bangshi Du, Feng Qi, Sujie Shao, Ying Wang, and Weijian Li "Operation quality assessment model for video conference system", Proc. SPIE 10621, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 1062123 (12 January 2018); https://doi.org/10.1117/12.2296292

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