Study On Knitwear Trend Forecast Based On Popular Elements Of Digital Quantitative

Under the new economic era, knitwear is increasingly attracting the consumers with itsunique fabric style and excellent characteristics. The clothing development trend turns fromwoven clothing to knitting clothing in global Appeared in the field of global apparel. At thesame time, the global competition in knitwear market is getting fierce. The change ofKnitwear popularity gradually speeds up, the update cycle gradually shortened, then knitwearfashion shows the characteristics of fuzzy, diverse, which makes the knitwear fashion trendprediction more important. At present, the study of knitwear fashion trend still exists a certaingap compared with the developed countries: On one hand, it’s due to the relatively weaknessin fashion prediction experience, it always can’t get rid of the shackles of foreign fashionprediction and lack of information organization system which can truly inductive analysis、predict accurately and transfer the information effectively. One the other hand, most of theknitwear enterprises in China still adopt the method of qualitative prediction to predict thefuture products. This method is able to capture the latest dynamic market popularity, but as aresult of the limit sample range, it is very hard to understand and judge fashion trend in anoverall and comprehensive way.According to the characteristics of the above issue, this topic regards "knitwear fashiontrend prediction" as the research object, then it comprehensive analysis of the change ofknitwear properties and law of popular elements and quantitative classification methods,finally it summarizes a set of system theory method of knitwear fashion trend predictionwhich is established on the basis of objective historical data, and made an empirical analysison it:Firstly, the topic systematically expounds the knitwear’s characteristics such as popularformation, development, type, status, performance based on existing research, then itsummarizes the related theory of knitwear fashion and fashion prediction research.Secondly, this article puts forward knitwear popularity elements of the quantificationtheory from the view of smallest unit that constitute the popular elements and expounds themethod of knitwear popular elements in refining, hierarchical optimization. It also introducesthe trend prediction method and the principle used in this article according to thecharacteristics of knitwear pop elements.Lastly, the article puts forward knitwear fashion trend prediction theory method based onpopular elements of digital quantitative and creates a set of relatively complete system ofknitwear fashion trend prediction. And it uses yarn color swatches released by Spin Expo asprediction of data sources, makes a further empirical research through red yarn color, choosestrend model conforms to the change of fashion color, and calculates the model parameterswith the aid of a computer system, the Matlab software, uses the least squares method onchoosing the optimal prediction model.This topic uses the popular elements of quantitative theory and prediction model,proposes a set of more comprehensive and scientific knitwear fashion trend prediction theorymethod based on the history of science data. According to this, more precise prediction about the knitwear popular elements enable enterprises to avoid the blindness of production, reducemarket risk, guide the consumer behavior of consciousness correctly, and promote theprogress and development of the whole knitwear industry.