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A new fast training algorithm for autoencoder neural networks based on extreme learning machine
Vásquez-Coronel, José A; Mora, Marco; Vilches-Ponce, Karina; Silva Pavez, Fabián; Torres-Gonzalez, Italo; Barria-Valdevenito, Pedro (2022)
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 ...
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Fast tuning of extreme learning machine neural networks based with simple optimization algorithms
Tobar Valenzuela, Luis; Mora, Marco; Silva Pavez, Fabián; Torres-Gonzalez, Italo; Barría-Valdebenito, Pedro (2022)
Extreme Learning Machine (ELM) is a neural network training paradigm that is characterized by simplicity, speed and high level of accuracy. The tuning of the network parameters is normally carried out with non-linear ...
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Using heaps on GPU
Nowadays, searching algorithms are a key component in modern computer science applications. However, traditional approaches of exact search techniques are practicallyan unfeasible solution with the rise of data in ...