Comments on “Local coupled extreme learning machine”

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• 作者：Wan-guo Yu ; Xu Zhou ; Yu-lin He ; Rana Aamir Raza Ashfaq
• 关键词：ELM ; LCELM ; LCFNN ; Window function
• 刊名：Neural Computing and Applications
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：28
• 期：3
• 页码：631-634
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Probability and Statistics in Computer Science; Computational Science and Engineering; Image Processing and Computer Visi
• 出版者：Springer London
• ISSN：1433-3058
• 卷排序：28

文摘

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.