Extreme learning machine adapted to noise based on optimization algorithms
The extreme learning machine for neural networks of feedforward of a single hidden layer randomly assigns the weights of entry and analytically determines the weights the output by means the Moore-Penrose inverse, this algorithm tends to provide an extremely fast learning speed preserving the adjust...
- Autores:
-
Vásquez, A
Mora, M
Salazar, E
Gelvez, E
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/6380
- Acceso en línea:
- https://hdl.handle.net/20.500.12442/6380
https://iopscience.iop.org/article/10.1088/1742-6596/1514/1/012006/pdf
- Palabra clave:
- Optimization algorithm
Moore-Penrose
Learning
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional