摘要
构建了电子政务公众满意度测评模型。将神经网络偏最小二乘法(neural networks partial leastsquares,简称NNPLS)应用到电子政务公众满意度测评中。实证研究的结果表明,NNPLS与传统顾客满意度测评模型所采用的偏最小二乘法(PLS)相比,NNPLS收敛速度快,求解稳定,具有较好的拟合效果和较高的预测精度。
This study focuses on measuring E-government performance from the perspective of customer satisfaction. A comprehensive model of satisfaction with these E-government services is developed. Neural networks partial least squares （NNPLS） method is applied to measure customer satisfaction with E-government. As an application, the proposed NNPLS hybrid method is compared with the standard linear PLS method. The results show that the NNPLS has higher imitating precision and smaller prediction errors.
出处
《系统工程》
CSSCI
CSCD
北大核心
2010年第3期108-113,共6页
Systems Engineering
基金
国家自然科学基金资助项目(70703036)
