12 January 2018 Operation quality assessment model for video conference system
Author Affiliations +
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bangshi Du, Bangshi Du, Feng Qi, Feng Qi, Sujie Shao, Sujie Shao, Ying Wang, Ying Wang, Weijian Li, 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); doi: 10.1117/12.2296292; https://doi.org/10.1117/12.2296292
PROCEEDINGS
11 PAGES


SHARE
Back to Top