Densely Connected Neural Networks for Nonlinear Regression

Densely connected convolutional networks (DenseNet) behave well in image processing. However, for regression tasks, convolutional DenseNet may lose essential information from independent input features. To tackle this issue, we propose a novel DenseNet regression model where convolution and pooling...

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Detalles Bibliográficos
Autores principales: Jiang, Chao, Jiang, Canchen, Chen, Dongwei, Hu, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317522/
https://www.ncbi.nlm.nih.gov/pubmed/35885098
http://dx.doi.org/10.3390/e24070876

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317522/
https://www.ncbi.nlm.nih.gov/pubmed/35885098
http://dx.doi.org/10.3390/e24070876

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