基于Markov预测的服装辅助设计模型

纺织学报 ›› 2008, Vol. 29 ›› Issue (2): 76-80.

基于Markov预测的服装辅助设计模型

贾江鸣;潘晓弘;王正肖

浙江大学现代制造工程研究所浙江杭州310027

收稿日期:2007-01-07 修回日期:2007-09-28 出版日期:2008-02-15 发布日期:2008-02-15

Assistant fashion design model based on Markov prediction

JIA Jiangming;PAN Xiaohong;WANG Zhengxiao

Institute of Manufacturing Engineering;Zhejiang University;Hangzhou;Zhejiang 310027;China

Received:2007-01-07 Revised:2007-09-28 Online:2008-02-15 Published:2008-02-15

摘要/Abstract

摘要： 阐述服装流行要素对服装设计的影响,提出基于Markov预测(Markov prediction,MP)技术和采用案例推理(case-based reasoning,CBR)搜索匹配技术的服装辅助设计模型,解决现代服装企业设计过程中设计智能化问题。该模型将信息系统大容量记忆、高速运算和细节分析等特点和设计人员在经验基础上的主观判断相结合,从MP预测模型中得到服装流行要素的预测集合,再通过趋势分析得到合理的服装流行要素组合(流行趋势)。CBR搜索匹配历史设计案例库和预测得到的流行趋势,在服装设计人员的修改和整合下得到设计结果。最后,通过企业的服装辅助设计应用实例对该模型进行了验证。

Abstract: Expounding the importance of popular elements in fashion design,the paper proposed an assistant fashion design model based on case-based reasoning(CBR) and Markov prediction(MP),attempting to solve the issue of intelligent fashion design that the modern fashion enterprises are faced with.The model has combined information technology′s advantages(large capacity memory,high speed operation and detail analysis ability) with designer′s empirical subjective judgement.According to the forecast popular elements set from MP model,reasonable popular elements composition(fashion trend) was obtained through trend analysis.The fashion trend was obtained by CBR search in design case library and,design results,by designer′s modification and integration.Finally,the model was verified by practical applications in enterprise.

贾江鸣;潘晓弘;王正肖. 基于Markov预测的服装辅助设计模型[J]. 纺织学报, 2008, 29(2): 76-80.

JIA Jiangming;PAN Xiaohong;WANG Zhengxiao. Assistant fashion design model based on Markov prediction[J]. JOURNAL OF TEXTILE RESEARCH, 2008, 29(2): 76-80.

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