ERNEAD: Training of Artificial Neural Networks Based on a Genetic Algorithm and Finite Automata Theory
This paper presents a variation in the algorithm EMODS (Evolutionary Metaheuristic of Deterministic Swapping), at the level of its mutation stage in order to train algorithms for each problem. It should be noted that the EMODS metaheuristic is a novel framework that allows multi-objective optimizati...
- Autores:
-
Ruiz-Rangel, Jonathan
Ardila Hernandez, Carlos Julio
Maradei Gonzalez, Luis
Jabba Molinares, Daladier
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/1863
- Acceso en línea:
- http://hdl.handle.net/20.500.12442/1863
- Palabra clave:
- Finite Deterministic Automaton
Artificial Neural Networks
Genetic Algorithm
EMODS
Backpropagation Algorithm
Conjugate Gradient Algorithm
Levenberg-Marquardt Algorithm
- Rights
- License
- Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional