A Review on Large-Scale Data Processing with Parallel and Distributed Randomized Extreme Learning Machine Neural Networks
The randomization-based feedforward neural network has raised great interest in the scientific community due to its simplicity, training speed, and accuracy comparable to traditional learning algorithms. The basic algorithm consists of randomly determining the weights and biases of the hidden layer...
- Autores:
-
Gelvez-Almeida, Elkin
Mora, Marco
Barrientos, Ricardo
Hernández García, Ruber
Vilches, Karina
Vera, Miguel
- Tipo de recurso:
- Fecha de publicación:
- 2024
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/16208
- Palabra clave:
- Randomization-Based Feedforward Neural Network
Extreme Learning Machine
Moore–Penrose generalized inverse matrix
Parallel and distributed computing
- Rights
- openAccess
- License
- http://purl.org/coar/access_right/c_abf2