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Alcoholism Identification Based on an AlexNet Transfer Learning Model

Aim: This paper proposes a novel alcoholism identification approach that can assist radiologists in patient diagnosis. Method: AlexNet was used as the basic transfer learning model. The global learning rate was small, at 10(−4), and the iteration epoch number was at 10. The learning rate factor of r...

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Detalles Bibliográficos
Autores principales: Wang, Shui-Hua, Xie, Shipeng, Chen, Xianqing, Guttery, David S., Tang, Chaosheng, Sun, Junding, Zhang, Yu-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470295/
https://www.ncbi.nlm.nih.gov/pubmed/31031657
http://dx.doi.org/10.3389/fpsyt.2019.00205