Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25099
Title: Sales forecasting using extreme learning machine with applications in fashion retailing
Authors: Sun, ZL
Choi, TM 
Au, KF
Yu, Y
Keywords: Artificial neural network
Backpropagation neural networks
Decision support system
Extreme learning machine
Fashion sales forecasting
Issue Date: 2008
Publisher: Elsevier
Source: Decision support systems, 2008, v. 46, no. 1, p. 411-419 How to cite?
Journal: Decision support systems 
Abstract: Sales forecasting is a challenging problem owing to the volatility of demand which depends on many factors. This is especially prominent in fashion retailing where a versatile sales forecasting system is crucial. This study applies a novel neural network technique called extreme learning machine (ELM) to investigate the relationship between sales amount and some significant factors which affect demand (such as design factors). Performances of our models are evaluated by using real data from a fashion retailer in Hong Kong. The experimental results demonstrate that our proposed methods outperform several sales forecasting methods which are based on backpropagation neural networks.
URI: http://hdl.handle.net/10397/25099
ISSN: 0167-9236
EISSN: 1873-5797
DOI: 10.1016/j.dss.2008.07.009
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