基于傅里叶级数拟合的女装图案流行趋势预测

Pattern trend forecast for womens wear based on Fourier series fitting

随着经济全球化的日趋加深,中国服装产业从服装生产大国转型为服装生产强国已是必然趋势。能够快速响应即将发生的服装流行趋势,甚至全球范围内的服装流行趋势将是未来中国服装产业的首要任务。而女装市场又占据着极大的市场份额,因此把握女装市场的流行动向显得十分重要。文章提出了基于傅里叶级数拟合的女装图案流行趋势预测方法,能够有效准确地反映出流行趋势的变化,实现对图案流行程度的定量描述;构建了基于傅里叶级数拟合的数学模型,并以图案为例用实际销售数据进行了验证,对未来女装图案的流行趋势进行了预测。

As economic globalization deepens,Chinese garment industry is now transforming from a large garment producer to a strong garment producer,which is an inevitable trend.Quick response to the upcoming garment trend and even creating a garment trend all over the world will be the primary task for Chinese garment industry.The women s wear occupies a big proportion in the whole Chinese garment industry,so it is very important to grasp the fashion trend of women s wear.This paper presents a trend forecast method for patterns of women s wear based on Fourier series fitting,which can precisely and effectively reflect the variation of trend and quantitatively describe the degree of trend.This paper establishes a mathematical model based on Fourier series fitting,and the model is verified by the actual sale data and used to predict the future trend of pattern of women s wear.