基于灰关联分析Elman网络的网上购物意向预测模型  

Consumer Online Shopping Intention Forecasting Model Based on Gray Relation Analysis and Elman Neural Network

作　　者：梁娜[1] 华锐[1] 张吉刚[1] 

机构地区：[1]咸宁学院数学与统计学院,湖北咸宁437100

出　　处：《海南大学学报（自然科学版）》2011年第3期213-217,共5页Natural Science Journal of Hainan University

摘　　要：利用灰关联方法分析了消费者网上购物意向与各影响因子的关系,建立了预测消费者网上购物意向的Elman神经网络模型.结果表明,根据灰关联度的计算得出消费者网上购物意向的影响程度由强到弱的顺序,与实测值吻合,表明利用所建立的Elman神经网络模型能有效地预测消费者网上购物意向.The gray relation method was used to analyze the relation between consumer online shopping intention and the influencing factors,and the Elman artificial neural network model was constructed to predict consumer online shopping intention.The results indicated that the predicted consumer online shopping intention was consistent with actual data,which suggested that Elman ANN model could predict consumer online shopping intention effectively.

关 键 词：灰关联分析 ELMAN神经网络 网上购物意向 模型 

分 类 号：N941[自然科学总论—系统科学] TP183[自动化与计算机技术—控制理论与控制工程]