Application of back propagation neural network model optimized by particle swarm algorithm in predicting the risk of hypertension

The structure of a back propagation neural network was optimized by a particle swarm optimization (PSO) algorithm, and a back propagation neural network model based on a PSO algorithm was constructed. By comparison with a general back propagation neural network and logistic regression, the fitting p...

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Detalles Bibliográficos
Autores principales: Yan, Yan, Chen, Rong, Yang, Zihua, Ma, Yong, Huang, Jialu, Luo, Ling, Liu, Hao, Xu, Jian, Chen, Weiying, Ding, Yuanlin, Kong, Danli, Zhang, Qiaoli, Yu, Haibing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Machine Learning/Ai
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731601/
https://www.ncbi.nlm.nih.gov/pubmed/36380516
http://dx.doi.org/10.1111/jch.14597

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731601/
https://www.ncbi.nlm.nih.gov/pubmed/36380516
http://dx.doi.org/10.1111/jch.14597

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