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

C He, H Kang, T Yao, X Li - Mathematical biosciences and …, 2019 - aimspress.com
An effective classifier combining convolutional neural network and regularized extreme
learning machine (called as CNN-RELM) is presented in this paper. Firstly, CNN-RELM …

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

C He, H Kang, T Yao, X Li - Mathematical Biosciences and …, 2019 - aimspress.com
An effective classifier combining convolutional neural network and regularized extreme
learning machine (called as CNN-RELM) is presented in this paper. Firstly, CNN-RELM …

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

C He, H Kang, T Yao, X Li - researchgate.net
An effective classifier combining convolutional neural network and regularized extreme
learning machine (called as CNN-RELM) is presented in this paper. Firstly, CNN-RELM …

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

CM He, HY Kang, T Yao, XR Li - Mathematical Biosciences and …, 2019 - europepmc.org
An effective classifier combining convolutional neural network and regularized extreme
learning machine (called as CNN-RELM) is presented in this paper. Firstly, CNN-RELM …

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

CM He, HY Kang, T Yao, XR Li - … and engineering: MBE, 2019 - pubmed.ncbi.nlm.nih.gov
An effective classifier combining convolutional neural network and regularized extreme
learning machine (called as CNN-RELM) is presented in this paper. Firstly, CNN-RELM …