Extreme learning machine with affine transformation inputs in an activation function

Extreme learning machine with affine transformation inputs in an activation function

The extreme learning machine (ELM) has attracted much attention over the past decade due to its fast learning speed and convincing generalization performance. However, there still remains a practical issue to be approached when applying the ELM: the randomly generated hidden node parameters without...

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Bibliographic Details
Main Authors: Cao, Jiuwen, Zhang, Kai, Yong, Hongwei, Lai, Xiaoping, Chen, Badong, Lin, Zhiping
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Engineering::Electrical and electronic engineering
Engineering::Computer science and engineering
Extreme Learning Machine
Affine Transformation Activation Function
Online Access:https://hdl.handle.net/10356/136684

Internet

https://hdl.handle.net/10356/136684

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