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1 lip 2014 · Fashion forecasting involves studying trends like styles, colors, fabrics and consumer behavior to predict future demand. Forecasters look for styles that capture the mood of the time and may become new trends. Fashion responds to what is modern and forms a feedback loop between industry and consumers.
26 paź 2013 · explore the fashion sales forecasting problem for fashion retailers by using evolutionary neural networks (ENN). They find that ENN can substantially enhance the forecasting accuracy compared to various other traditional methods.
Motivated by the importance of intelligent fashion forecasting, this book project is organized and it features a collection of peer-refereed papers which are organized into three parts, namely Part I – introductory, review and exploratory materials related to fashion forecasting, Part II – theoretical modeling research on fashion
1 cze 2011 · In this paper, we propose a new method which employs the extreme learning machine (ELM), with the combination of statistical methods, for making fast forecasting for fashion products with a focus on real-world applications. The forecasting accuracy and time cost of the ELM model are both explored.
11 lut 2021 · A novel fashion trend analysis system called “Neo-Fashion,” which provides recommendations to fashion researchers and practitioners about potential fashion trends using computer vision and machine learning, is designed.
5 wrz 2024 · The paper reviews various forecasting models across different domains, emphasizing the unique challenges of forecasting new fashion products. The challenges are multifaceted and subject to constant change, including consumer preferences, seasonality, and the influence of social media.
With the Fashion Institute of Technology as the case study, we then examine forecasting in context: how faculty incorporate it into pedagogy, how students engage with the materials and how librarians integrate critical thinking and information literacy into instruction.
