Buscar
Mostrando publicaciones 1-4 de 4
Parallel training of a set of online sequential extreme learning machines
(2022)
Size databases have constantly increased from advances in technology and the Internet, so processing this vast amount of information has been a great challenge. The neural network Extreme Learning Machine (ELM) have been ...
A new fast training algorithm for autoencoder neural networks based on extreme learning machine
(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 ...
Fast tuning of extreme learning machine neural networks based with simple optimization algorithms
(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 ...
Accelerated biometric fingerprint search on a multi-GPU environment
(2023)
One of the largest biometric databases in Chile is fingerprints, which is also the most widely used biometric in the national context. In this sense, it is relevant to have efficient algorithms in execution time on this ...