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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.08.082
Abstract: Abstract For regression tasks, the existing extreme learning machine (ELM) and kernel extreme learning machine (KELM) algorithms exhibit singularity and over-fitting problems when the number of training samples is less than the number of hidden…
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Keywords:
extreme learning;
learning machine;
incremental extreme;
regression ... See more keywords
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Published in 2019 at "Automatika"
DOI: 10.1080/00051144.2019.1570642
Abstract: ABSTRACT Focussing on the problem that redundant nodes in the kernel incremental extreme learning machine (KI-ELM) which leads to ineffective iteration increase and reduce the learning efficiency, a novel improved hybrid intelligent deep kernel incremental…
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Keywords:
extreme learning;
learning machine;
kernel incremental;
incremental extreme ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/9107430
Abstract: Novel coronavirus 2019 has created a pandemic and was first reported in December 2019. It has had very adverse consequences on people's daily life, healthcare, and the world's economy as well. According to the World…
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Keywords:
pca;
learning machine;
extreme learning;
incremental extreme ... See more keywords
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Published in 2023 at "Bioengineering"
DOI: 10.3390/bioengineering10020203
Abstract: Due to the rapid rate of SARS-CoV-2 dissemination, a conversant and effective strategy must be employed to isolate COVID-19. When it comes to determining the identity of COVID-19, one of the most significant obstacles that…
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Keywords:
capsule network;
covid;
extreme learning;
incremental extreme ... See more keywords