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

Published 2018 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Seasonal forecasting of agricultural commodity price using a hybrid STL and ELM method: Evidence from the vegetable market in China
Authors
Keywords
Vegetable price forecasting, Seasonal forecasting, Seasonal adjustment, Seasonal-trend decomposition procedures based on loess (STL), Extreme learning machines (ELM)
Journal
NEUROCOMPUTING
Volume 275, Issue -, Pages 2831-2844
Publisher
Elsevier BV
Online
2017-12-02
DOI
10.1016/j.neucom.2017.11.053

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.