Low complexity adaptive forgetting factor for online sequential extreme learning machine (OS-ELM) for application to nonstationary system estimations

标题
Low complexity adaptive forgetting factor for online sequential extreme learning machine (OS-ELM) for application to nonstationary system estimations
作者
关键词
Extreme learning machine, OS-ELM, RLS adaptive forgetting factor
出版物
NEURAL COMPUTING & APPLICATIONS
Volume 22, Issue 3-4, Pages 569-576
出版商
Springer Nature
发表日期
2012-02-08
DOI
10.1007/s00521-012-0873-x

向作者/读者发起求助以获取更多资源

Reprint

联系作者

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