Comments on “Local coupled extreme learning machine”

Local coupled extreme learning machine (LCELM) (Qu in Neural Comput Appl 27(1):27–33, 2016 ) is a recently developed variant of ELM and uses the paradigm of local coupled feed-forward neural network (LCFNN) (Sun in Neural Netw 23(1):108–113, 2010 ) to train an ELM model. This comment is to point out...

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Bibliographic Details
Published inNeural computing & applications Vol. 28; no. 3; pp. 631 - 634
Main Authors Yu, Wan-guo, Zhou, Xu, He, Yu-lin, Ashfaq, Rana Aamir Raza
Format Journal Article
LanguageEnglish
Published London Springer London 01.03.2017
Springer Nature B.V
Subjects
Artificial Intelligence
Commentary
Computational Biology/Bioinformatics
Computational Science and Engineering
Computer Science
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
Machine learning
Neural networks
Probability and Statistics in Computer Science
Window functions
LCELM
LCFNN
Window function
ELM
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Summary:Local coupled extreme learning machine (LCELM) (Qu in Neural Comput Appl 27(1):27–33, 2016 ) is a recently developed variant of ELM and uses the paradigm of local coupled feed-forward neural network (LCFNN) (Sun in Neural Netw 23(1):108–113, 2010 ) to train an ELM model. This comment is to point out that the window function used in LCELM does not satisfy the necessary conditions of window function required by LCFNN. As a result, LCELM cannot effectively control the activation of hidden-layer node for different instances. It is possible that the improper window function can cause LCELM has the same discriminant with the basic ELM.
ISSN:0941-0643
1433-3058
DOI:10.1007/s00521-016-2497-z