Application of back propagation neural network model optimized by particle swarm algorithm in predic...
Application of back propagation neural network model optimized by particle swarm algorithm in predicting the risk of hypertension
About this item
Full title
Author / Creator
Yan, Yan , Chen, Rong , Yang, Zihua , Ma, Yong , Huang, Jialu , Luo, Ling , Liu, Hao , Xu, Jian , Chen, Weiying , Ding, Yuanlin , Kong, Danli , Zhang, Qiaoli and Yu, Haibing
Publisher
United States: John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
United States: John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
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 performance and prediction performance of the PSO a...
Alternative Titles
Full title
Application of back propagation neural network model optimized by particle swarm algorithm in predicting the risk of hypertension
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_fd4f6be4a39f4b76973a6211ed799fd5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fd4f6be4a39f4b76973a6211ed799fd5
Other Identifiers
ISSN
1524-6175
E-ISSN
1751-7176
DOI
10.1111/jch.14597
