An Extreme Learning Machine Based on Artificial Immune System
Joint Authors
Tian, Hui-yuan
Wu, Tian-qi
Li, Shijian
Yao, Min
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Extreme learning machine algorithm proposed in recent years has been widely used in many fields due to its fast training speed and good generalization performance.
Unlike the traditional neural network, the ELM algorithm greatly improves the training speed by randomly generating the relevant parameters of the input layer and the hidden layer.
However, due to the randomly generated parameters, some generated “bad” parameters may be introduced to bring negative effect on the final generalization ability.
To overcome such drawback, this paper combines the artificial immune system (AIS) with ELM, namely, AIS-ELM.
With the help of AIS’s global search and good convergence, the randomly generated parameters of ELM are optimized effectively and efficiently to achieve a better generalization performance.
To evaluate the performance of AIS-ELM, this paper compares it with relevant algorithms on several benchmark datasets.
The experimental results reveal that our proposed algorithm can always achieve superior performance.
American Psychological Association (APA)
Tian, Hui-yuan& Li, Shijian& Wu, Tian-qi& Yao, Min. 2018. An Extreme Learning Machine Based on Artificial Immune System. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130667
Modern Language Association (MLA)
Tian, Hui-yuan…[et al.]. An Extreme Learning Machine Based on Artificial Immune System. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1130667
American Medical Association (AMA)
Tian, Hui-yuan& Li, Shijian& Wu, Tian-qi& Yao, Min. An Extreme Learning Machine Based on Artificial Immune System. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130667
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130667