![](/images/graphics-bg.png)
A Robust AdaBoost.RT Based Ensemble Extreme Learning Machine
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-26
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Extreme learning machine (ELM) has been well recognized as an effective learning algorithm with extremely fast learning speed and high generalization performance.
However, to deal with the regression applications involving big data, the stability and accuracy of ELM shall be further enhanced.
In this paper, a new hybrid machine learning method called robust AdaBoost.RT based ensemble ELM (RAE-ELM) for regression problems is proposed, which combined ELM with the novel robust AdaBoost.RT algorithm to achieve better approximation accuracy than using only single ELM network.
The robust threshold for each weak learner will be adaptive according to the weak learner’s performance on the corresponding problem dataset.
Therefore, RAE-ELM could output the final hypotheses in optimally weighted ensemble of weak learners.
On the other hand, ELM is a quick learner with high regression performance, which makes it a good candidate of “weak” learners.
We prove that the empirical error of the RAE-ELM is within a significantly superior bound.
The experimental verification has shown that the proposed RAE-ELM outperforms other state-of-the-art algorithms on many real-world regression problems.
American Psychological Association (APA)
Zhang, Pengbo& Yang, Zhixin. 2015. A Robust AdaBoost.RT Based Ensemble Extreme Learning Machine. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073343
Modern Language Association (MLA)
Zhang, Pengbo& Yang, Zhixin. A Robust AdaBoost.RT Based Ensemble Extreme Learning Machine. Mathematical Problems in Engineering No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1073343
American Medical Association (AMA)
Zhang, Pengbo& Yang, Zhixin. A Robust AdaBoost.RT Based Ensemble Extreme Learning Machine. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073343
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073343