An effective classifier based on convolutional neural network and regularized extreme learning machine

An effective classifier based on convolutional neural network and regularized extreme learning machine

An effective classifier combining convolutional neural network and regularized extreme learning machine (called as CNN-RELM) is presented in this paper. Firstly, CNN-RELM trains the convolutional neural network (CNN) using the gradient descent method until the learning target accuracy reaches. Then...

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Bibliographic Details
Main Authors: Chunmei He, Hongyu Kang, Tong Yao, Xiaorui Li
Format: Article
Language:English
Published: AIMS Press 2019-09-01
Series:Mathematical Biosciences and Engineering
Subjects:
convolutional neural network
regularized extreme learning machine
classification
face recognition
feature extraction
Online Access:https://www.aimspress.com/article/10.3934/mbe.2019420?viewType=HTML

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https://www.aimspress.com/article/10.3934/mbe.2019420?viewType=HTML

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