A regularized stochastic configuration network based on weighted mean of vectors for regression

The stochastic configuration network (SCN) randomly configures the input weights and biases of hidden layers under a set of inequality constraints to guarantee its universal approximation property. The SCN has demonstrated great potential for fast and efficient data modeling. However, the prediction...

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Detalles Bibliográficos
Autores principales: Wang, Yang, Zhou, Tao, Yang, Guanci, Zhang, Chenglong, Li, Shaobo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280388/
https://www.ncbi.nlm.nih.gov/pubmed/37346579
http://dx.doi.org/10.7717/peerj-cs.1382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280388/
https://www.ncbi.nlm.nih.gov/pubmed/37346579
http://dx.doi.org/10.7717/peerj-cs.1382

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