Multilayer Fisher extreme learning machine for classification

As a special deep learning algorithm, the multilayer extreme learning machine (ML-ELM) has been extensively studied to solve practical problems in recent years. The ML-ELM is constructed from the extreme learning machine autoencoder (ELM-AE), and its generalization performance is affected by the rep...

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Veröffentlicht in:	Complex & intelligent systems Jg. 9; H. 2; S. 1975 - 1993
Hauptverfasser:	Lai, Jie, Wang, Xiaodan, Xiang, Qian, Wang, Jian, Lei, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.04.2023 Springer Nature B.V Springer
Schlagworte:	Algorithms Artificial neural networks Autoencoder Classification Complexity Computational Intelligence Data Structures and Information Theory Deep learning Engineering Extreme learning machine Fisher criterion Machine learning Multilayers Original Article Regularization Representation learning Unsupervised learning Deep learning Representation learning Extreme learning machine Autoencoder Fisher criterion
ISSN:	2199-4536, 2198-6053
Online-Zugang:	Volltext
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