Sales forecasting using extreme learning machine with applications in fashion retailing

455 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Market impact analysis via deep learned architectures (2018, methodology): “[28] apply ELM to fashion retail sales predictions and find the performance better than BP-NN.”
Extreme learning machines: a survey (2011, methodology): “An integration of several ELMs was proposed by Sun et al [76] to predict the future sales amount.”
Demand Forecasting in the Fashion Industry: A Review (2013, unknown): “Many authors have obtained impressive results through ANN [43, 44] and we can even count some interesting applications to fashion demand among these [45‐47].”
Financial time series forecasting using independent component analysis and support vector regression (2009, background): “Neural networks have been found to be useful techniques for modeling financial time series due to their ability to capture subtle functional relationships among the empirical data even though the underlying relationships are unknown or hard to describe [34, 38, 39, 41, 52, 61, 65, 66].”
Empirical analysis: stock market prediction via extreme learning machine (2014, methodology): “[27] apply ELM to fashion retail sales predictions and find the performance better than BP-NN.”