Seasonal forecasting of agricultural commodity price using a hybrid STL and ELM method: Evidence from the vegetable market in China

标题
Seasonal forecasting of agricultural commodity price using a hybrid STL and ELM method: Evidence from the vegetable market in China
作者
关键词
Vegetable price forecasting, Seasonal forecasting, Seasonal adjustment, Seasonal-trend decomposition procedures based on loess (STL), Extreme learning machines (ELM)
出版物
NEUROCOMPUTING
Volume 275, Issue -, Pages 2831-2844
出版商
Elsevier BV
发表日期
2017-12-02
DOI
10.1016/j.neucom.2017.11.053

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