摘要
基于云计算的服装流行趋势预测是指通过对服装流行趋势预测流程及方法的深度分析,提出将服装流行趋势预测与云计算对大数据的处理相结合,整合云平台在海量信息处理分析中的优势,获得对市场把握更加准确的预测结果。该方法建立在对海量数据的处理分析上,可有效利用海量信息对服装流行趋势的指导作用,避免传统服装流行趋势预测机制依靠有限的数据分析和人的主观感受导致片面性的结果,同时为结合人工智能进行深化提供基础。
The predicting of garment fashion trend based on cloud computing means grabbing more accurate predicting results through deep analysis of prediction processes and methods of the garment fashion trend and taking advantage of the computation capacity of cloud computing for big data. Based on analysis of massive amount of data, the method can avoid the one-sidedness led by limited data and subjectivity of the human analyzer by taking advantage of the trend predicting, which can also provide a potential optimization chance for involving artificial intelligent technology.
出处
《上海纺织科技》
北大核心
2017年第6期19-22,共4页
Shanghai Textile Science & Technology
基金
海派时尚设计及价值创造知识服务中心项目(ZX201311000031)
中央高校基本科研业务费专项资金项目"中国职业服流行趋势研究与应用"(16D110715)
关键词
人工智能
预测
云计算
服装
流行趋势
artificial intelligent
prediction
cloud computing
garment
fashion trend
