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...

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Detalles Bibliográficos
Autores principales: Melin, Patricia, Miramontes, Ivette, Carvajal, Oscar, Prado-Arechiga, German
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Application of Soft Computing
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

Internet

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

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