Listar por materia "Extreme learning machine"
Mostrando publicaciones 1-4 de 4
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A comprehensive review of extreme learning machine on medical imaging
(2023)The feedforward neural network based on randomization has been of great interest in the scientific community, particularly extreme learning machines, due to its simplicity, training speed, and levels of accuracy comparable ...
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Fingerprint classification through standard and weighted extreme learning machines
(2020)Fingerprint classification is a stage of biometric identification systems that aims to group fingerprints and reduce search times and computational complexity in the databases of fingerprints. The most recent works on this ...
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The extreme learning machine algorithm for classifying fingerprints
(2020)Fingerprint recognition is the most employed bio-metric method for identification and verification purposes. Fingerprint images are classified into five categories according to the morphology of their ridges, which decreases ...
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Training of an extreme learning machine autoencoder based on an iterative shrinkage-thresholding optimization algorithm
(2022)Orthogonal transformations, proper decomposition, and the Moore–Penrose inverse are traditional methods of obtaining the output layer weights for an extreme learning machine autoencoder. However, an increase in the number ...