On extreme learning machines in sequential and time series prediction: A non-iterative and approximate training algorithm for recurrent neural networks

标题
On extreme learning machines in sequential and time series prediction: A non-iterative and approximate training algorithm for recurrent neural networks
作者
关键词
Recurrent neural networks, Non-iterative training, Extreme learning machines, Random vector functional link, Time series prediction, Partially observable Markov decision process
出版物
NEUROCOMPUTING
Volume 325, Issue -, Pages 1-19
出版商
Elsevier BV
发表日期
2018-10-09
DOI
10.1016/j.neucom.2018.09.012

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

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

Explore

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