Forecasting the monthly iron ore import of China using a model combining empirical mode decomposition, non-linear autoregressive neural network, and autoregressive integrated moving average

Title
Forecasting the monthly iron ore import of China using a model combining empirical mode decomposition, non-linear autoregressive neural network, and autoregressive integrated moving average
Authors
Keywords
Empirical mode decomposition, Non-linear autoregressive neural network, ARIMA, Iron ore import, Forecasting
Journal
APPLIED SOFT COMPUTING
Volume 94, Issue -, Pages 106475
Publisher
Elsevier BV
Online
2020-06-12
DOI
10.1016/j.asoc.2020.106475

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started