Listar por materia "Feature extraction"
Mostrando publicaciones 1-2 de 2
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Congestive heart failure category classification using neural networks in short-term series
(2023)Congestive heart failure carries immense importance in the realm of public health. This significance arises from its substantial influence on the number of lives lost, economic burdens, the potential for prevention, and ...
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Training of an extreme learning machine autoencoder based on an iterative shrinkage-thresholding optimization algorithm
; Mora, Marco
; (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 ...