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Estimation of the optimal number of neurons in extreme learning machine using simulated annealing and the golden section
Gelvez-Almeida, Elkin; Mora, Marco; Huérfano-Maldonado, Y; Salazar-Jurado, Edwin; Martínez-Jeraldo, N; Lozada-Yavina, Rafael; Baldera-Moreno, Yvan; Tobar Valenzuela, Luis (2023)
Extreme learning machine is a neural network algorithm widely accepted in the scientific community due to the simplicity of the model and its good results in classification and regression problems; digital image processing, ...
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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 ...