【作者】 李敏； 马溪骏； 程飞；

【Author】 LI Min, MA Xi-jun, CHENG Fei (China Electronic Product Reliability and Environmental Testing Research Institute, Guangzhou 510610,China; School of Management, Hefei University of Technology, Hefei 230009, China)

【机构】 信息产业部电子第五研究所； 合肥工业大学；

【摘要】 在确立了电子政务网站评估指标体系的基础上,建立了基于最小二乘支持向量机(LS-SVM)的电子政务网站评估模型。研究了新型支持向量机算法-最小二乘支持向量机,并确定支持向量学习决策模式;对华东地区某些科技网站建设水平进行了评估。结果表明,基于最小二乘支持向量机的电子政务网站评估是有效的、可行的。更多还原

【Abstract】 An E-government website assessment model based on least squares support vector machines ( LS - SVM) is established using the website assessment index system which is established for E-government. The paper studies new support vector machines-least squares support vector machines, presents supportability grade decision making index, and assess scientific and technological website construction level of some buros in East China. The results show that the E-government website assessment model is efficient and feasible.更多还原