Estimation of the optimal number of neurons in extreme learning machine using simulated annealing and the golden section

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, medical diagnosis, and signal recognition are some applications in the field...

Full description

Autores:
Gelvez-Almeida, E
Mora, M
Huérfano-Maldonado, Y
Salazar-Jurado, E
Martínez-Jeraldo, N
Lozada-Yavina, R
Baldera-Moreno, Y
Tobar, L
Tipo de recurso:
Fecha de publicación:
2023
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/13163
Acceso en línea:
https://hdl.handle.net/20.500.12442/13163
https://doi.org/10.1088/1742-6596/2515/1/012003
Palabra clave:
Extreme Learning Machine
Classification and regression problems
Digital image processing
Neural networks
Simulated
Sequential method
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional