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A two-stage dynamic sales forecasting model for the fashion retail

A two-stage dynamic sales forecasting model for the fashion retail,10.1016/j.eswa.2010.07.065,Expert Systems With Applications,Yanrong Ni,Feiya Fan

A two-stage dynamic sales forecasting model for the fashion retail   (Citations: 3)
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The difficulty with fashion retail forecasting is due to a number of factors such as the season, region and fashion effect and causes a nonlinear change in the original sales rules. To improve the accuracy of fashion retail forecasting, a two-stage dynamic forecasting model is proposed, which is combined with both long-term and short-term predictions. The model introduces the improved adjustment methods, the main adjustment model and error forecasting model in the adjustment system collaborated with each other. The real-time data are demonstrated by applying the model in wireless mobile environment. The experiment shows that the model provides good results for fashion retail forecasting.
Journal: Expert Systems With Applications - ESWA , vol. 38, no. 3, pp. 1529-1536, 2011
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    • ...Currently, many researches have been conducted on the study of sales forecasting in various industries such as textile and clothing, fashion, book and electronics [1,2,3,4,5]...

    Chi-Jie Luet al. Incorporating Feature Selection Method into Neural Network Techniques ...

    • ...Sales prediction [1, 2], demand forecasting [3] and stock price forecasting [4, 5] can be considered as time series prediction problems...
    • ...Step 2: Determine threshold value k The proposed SOPNN scheme uses a threshold value k σ to select strong neurons in layer k . The k σ is in the interval [0, 1]. A large k σ implies that weak neurons are eliminated...
    • ...R is used to represent the fitness of a regression model for a neuron and is in the interval [0, 1]. Additionally, 2 ,...

    Jui-Yu Wu. Self-Organizing Polynomial Neural Network for Forecasting Chaotic Time...

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