摘要
将神经网络应用于顾客满意度的测评中,与传统的顾客满意度测评模型所采用的偏最小二乘法相比,神经网络方法能够更好地反映出各个变量之间的复杂关系,尤其是非线性关系,因而有更高的拟合精度。
This paper applies nerve net method into measuring Customer Satisfaction Degree. Compared with PLS used in traditional measuring method, NNT can reflect the complex relation among different variables more exactly, especially non-linearity. Thus it can achieve high imitating precision
出处
《北京理工大学学报（社会科学版）》
2005年第1期45-47,共3页
Journal of Beijing Institute of Technology：Social Sciences Edition
关键词
顾客满意度
非线性
BP神经网络
customer satisfaction degree
non-linearity
BP NNT.
