Fashion color forecasting is one of the most important factors for fashion marketing and manufacturing. Several models have been applied by previous researchers to conduct fashion color forecasting. However, few convi...Fashion color forecasting is one of the most important factors for fashion marketing and manufacturing. Several models have been applied by previous researchers to conduct fashion color forecasting. However, few convincing forecasting systems have been established. A prediction model for fashion color forecasting was established by applying an improved back propagation neural network (BPNN) model in this paper. Successive six-year fashion color palettes, released by INTERCOLOR, were used as learning information for the neural network to develop a reliable prediction model. Colors in the palettes were quantified by PANTONE color system. Additionally, performance of the established model was compared with other GM(1, 1) models. Results show that the improved BPNN model is suitable to predict future fashion color trend.展开更多
The first human communication is conveyed by the clothing. Clothing is a language, which has vocabulary and grammar like the human discourse. Of course, there are many clothing languages, with some having very close r...The first human communication is conveyed by the clothing. Clothing is a language, which has vocabulary and grammar like the human discourse. Of course, there are many clothing languages, with some having very close relationships, and some being very unique. In each clothing language, there are many different dialects and tones, which is the style of clothing.展开更多
This paper attempts to quantify color attribute change in women’s wear products in China by the computer-aided color design system. A method of classification and analysis of fashion color is proposed.In addition, da...This paper attempts to quantify color attribute change in women’s wear products in China by the computer-aided color design system. A method of classification and analysis of fashion color is proposed.In addition, data from several popular magazines are classified and tested for evidence of evolving activity of fashion color.展开更多
文摘Fashion color forecasting is one of the most important factors for fashion marketing and manufacturing. Several models have been applied by previous researchers to conduct fashion color forecasting. However, few convincing forecasting systems have been established. A prediction model for fashion color forecasting was established by applying an improved back propagation neural network (BPNN) model in this paper. Successive six-year fashion color palettes, released by INTERCOLOR, were used as learning information for the neural network to develop a reliable prediction model. Colors in the palettes were quantified by PANTONE color system. Additionally, performance of the established model was compared with other GM(1, 1) models. Results show that the improved BPNN model is suitable to predict future fashion color trend.
文摘The first human communication is conveyed by the clothing. Clothing is a language, which has vocabulary and grammar like the human discourse. Of course, there are many clothing languages, with some having very close relationships, and some being very unique. In each clothing language, there are many different dialects and tones, which is the style of clothing.
文摘This paper attempts to quantify color attribute change in women’s wear products in China by the computer-aided color design system. A method of classification and analysis of fashion color is proposed.In addition, data from several popular magazines are classified and tested for evidence of evolving activity of fashion color.
