A hybrid fuzzy time series model based on ANFIS and integrated nonlinear feature selection method for forecasting stock

Published 2016 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A hybrid fuzzy time series model based on ANFIS and integrated nonlinear feature selection method for forecasting stock
Authors
Keywords
Fuzzy time series, Integrated nonlinear feature selection method, Adaptive Neuro Fuzzy Inference System, Adaptive expectation model, Stock forecasting, Profit evaluation
Journal
NEUROCOMPUTING
Volume 205, Issue -, Pages 264-273
Publisher
Elsevier BV
Online
2016-05-11
DOI
10.1016/j.neucom.2016.03.068

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

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

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search
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.