A New Fast Training Algorithm for Autoencoder Neural Networks based on Extreme Learning Machine

Autoencoders are neural networks that are characterized by having the same inputs and outputs. This kind of Neural Networks aim to estimate a nonlinear transformation whose parameters allow to represent the input patterns to the network. The Extreme Learning Machine (ELM-AE) Autoencoders have random...

Celý popis

Podrobná bibliografia

Vydané v:	2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA) s. 1 - 7
Hlavní autori:	Vasquez-Coronel, Jose A., Mora, Marco, Vilches, Karina, Silva-Pavez, Fabian, Torres-Gonzalez, Italo, Barria-Valdevenito, Pedro
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 24.10.2022
Predmet:	Autoencoder Extreme Learning Machine Extreme learning machines Feature extraction Linear systems Machine learning Machine learning algorithms Neurons Shrinkage-thresholding algorithms Training
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!