Twin extreme learning machine based on heteroskedastic Gaussian noise model and its application in s...
Twin extreme learning machine based on heteroskedastic Gaussian noise model and its application in short-term wind-speed forecasting
About this item
Full title
Author / Creator
Zhang, Shiguang , Guo, Di and Zhou, Ting
Publisher
Amsterdam: IOS Press BV
Journal title
Language
English
Formats
Publication information
Publisher
Amsterdam: IOS Press BV
Subjects
More information
Scope and Contents
Contents
Extreme learning machine (ELM) has received increasingly more attention because of its high efficiency and ease of implementation. However, the existing ELM algorithms generally suffer from the drawbacks of noise sensitivity and poor robustness. Therefore, we combine the advantages of twin hyperplanes with the fast speed of ELM, and then introduce...
Alternative Titles
Full title
Twin extreme learning machine based on heteroskedastic Gaussian noise model and its application in short-term wind-speed forecasting
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2897585123
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2897585123
Other Identifiers
ISSN
1064-1246
E-ISSN
1875-8967
DOI
10.3233/JIFS-232121
