Cargando…
Fuzzy dynamic parameter adaptation in the bird swarm algorithm for neural network optimization
Fuzzy dynamic parameter adaptation has proven to be of great help when it is implemented in bio-inspired algorithms for optimization in different application areas, such as control, mathematical functions, classification, among others. One of the main contributions of this work is the proposed impro...
Autores principales: | Melin, Patricia, Miramontes, Ivette, Carvajal, Oscar, Prado-Arechiga, German |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744577/ https://www.ncbi.nlm.nih.gov/pubmed/35035278 http://dx.doi.org/10.1007/s00500-021-06729-7 |
Ejemplares similares
-
Swarm-based hybrid optimization algorithms: an exhaustive analysis and its applications to electricity load and price forecasting
por: Kottath, Rahul, et al.
Publicado: (2023) -
The reliability analysis based on the generalized intuitionistic fuzzy two-parameter Pareto distribution
por: Roohanizadeh, Zahra, et al.
Publicado: (2022) -
Improvement on PDP Evaluation Performance Based on Neural Networks and SGDK-means Algorithm
por: Deng, Fan, et al.
Publicado: (2021) -
Neuro-fuzzy network incorporating multiple lexicons for social sentiment analysis
por: Vashishtha, Srishti, et al.
Publicado: (2021) -
Fuzzy proximity-based robust data hiding scheme with interval threshold
por: Singh, Prabhash Kumar, et al.
Publicado: (2022)