Application of Least Squares Support Vector Regression Trained by Genetic Algorithm in Reliability Prediction of LAN/WLAN Integration Network

摘要：

Least squares support vector regression trained by genetic algorithm is proposed to predict the reliability of LAN/WLAN integration network and genetic algorithm is adopted to optimize the parameters of least squares support vector regression in the paper．The influencing factors of network reliability usually include the number of node，the number of link，time delay and reliability of link．The comparison results of the prediction values between LSSVR and RBENN and the comparison results of the prediction error between LSSVR and RBFNN are given in the paper．It is indicated that LSSVR has more excellent prediction ability than RBFNN．

关键词： LAN/WLAN least squares support vector regresston genetic algorithm integration network

作者: Wei ShaoFeng Zhang Ying

作者单位: Nanchang University Nanchang 330000,China Jiangxi Business School Nanchang 330000,China

会议类型: 国际会议

会议名称: 2011 International Conference on Manufacturing and Industrial Engineering(ICMIE 2011)(2011年制造及工业工程国际会议)

会议地点: 海口

会议语种:英文

页码: 220-224

在线出版日期: 2011-02-22（万方平台首次上网日期，不代表论文的发表时间）