摘要
通过对随机抽选的南昌大学生毛型服装购买因素权重的分析计算,利用小波神经网络探讨了影响南昌大学生购买毛型服装因素权重。结果表明:年龄与月消费水平对大学生购买毛型服装购买影响因素权重较高,性别与身材相对较低,且女生的性别、年龄、月消费水平及身材的权重均高于男生。
This paper analyzed and figured out the weight of factors influencing the purchase of wool-type clothing by university students in Nanchang.Besides,wavelet neural network was applied to discuss the weight of factors influencing the purchase of wool-type clothing by university students in Nanchang.The results show that the weighting factors of age and monthly consumption level are higher than those of sex and figure in buying wool-type clothing by university students in Nanchang.What＇s more,the weighting factors of sex,age,monthly consumption level and figure of girls are higher than those of boys.
出处
《现代纺织技术》
北大核心
2017年第6期62-65,共4页
Advanced Textile Technology
基金
江西省文化艺术科学重点研究基地中华服饰文化研究中心资助([2015]134号)
关键词
小波神经网络
大学生
毛型服装
权重
wavelet neural network
university tudents
wool-type clothing
weight
