Forecast of women′s spring/summer fashion color based on BP neural networks
Source abstract
Abstract
Women′s spring/summer(S/S) fashion color cards released by the domestic authority from 2001 to 2011 were quantified in this paper,and a scientific method of CIELab color measurement is applied.The partial statistics and chart analysis of color card quantitative sample show that there are triple features of women′s S/S fashion color,i.e.,constant,gradation and mutation.Basis on this study,fashion color hue and tone number,as well as the tone distribution of red color corresponding to the min and max value of L*,a* and b*,are forecasted and estimated in 2011 and re-forecasted in 2012 by BP neural networks.The forecast results in 2011 are basically coincident with the actual fashion trends release,which shows that this is a scientific,comprehensive,continuous fashion color forecast method which has enriched the fashion color forecast theories.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Color perception and design · Color Science and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References
Reference metadata was not supplied for this record.