Reliability Prediction of LAN/WLAN Integration Network Based on Artificial Intelligence

摘要：

This paper describes the reliability and validation of prediction models of LAN/WLAN integration network. An improved PSO algorithm is used to optimize the weight of BP neural network. Support vector machine (SVM) is used in network reliability prediction. The LAN/WLAN integration network reliability prediction models are established with three methods (BP neural network, improved BP neural network based on PSO, and SVM regression model). The validity of reliability prediction model based on artificial intelligence as well as the advantage of using support vector regression method has also been demonstrated experimentally.

关键词： reliability prediction integration network artificial intelligence

作者: Liu Xinmei Wang Xiaokai Wang Li Han Yan

作者单位: National Key Laboratory for Electronic Measurement Technology, North University of China Taiyuan, PR High-tech Industrial Development Zone of Taiyuan, Post-doctorate Scientific Research Workstation, Ta Physics and Electronic Engineering College, Jinzhong University, Jinzhong, PR China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 312-316

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）