Improved GWO and its application in parameter optimization of Elman neural network

Traditional neural networks used gradient descent methods to train the network structure, which cannot handle complex optimization problems. We proposed an improved grey wolf optimizer (SGWO) to explore a better network structure. GWO was improved by using circle population initialization, informati...

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Detalles Bibliográficos
Autores principales: Liu, Wei, Sun, Jiayang, Liu, Guangwei, Fu, Saiou, Liu, Mengyuan, Zhu, Yixin, Gao, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328355/
https://www.ncbi.nlm.nih.gov/pubmed/37418374
http://dx.doi.org/10.1371/journal.pone.0288071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328355/
https://www.ncbi.nlm.nih.gov/pubmed/37418374
http://dx.doi.org/10.1371/journal.pone.0288071

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