Ensemble Method of Diverse Regularized Extreme Learning Machines

Ensemble Method of Diverse Regularized Extreme Learning Machines

As a fast training algorithm of single hidden layer forward networks, extreme learning machine (ELM) randomly initializes the input layer weights and hidden layer biases, and gets the weights of output layer through the analysis method. It overcomes many shortcomings of gradient based learning algor...

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Bibliographic Details
Main Author: CHEN Yang, WANG Shitong
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2022-08-01
Series:Jisuanji kexue yu tansuo
Subjects:
|extreme learning machine (elm)|ensemble learning|diversity|regularized extreme learning machines (relm)
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2101001.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/2101001.pdf

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