Generative adversarial network based on chaotic time series

Generative adversarial networks (GANs) are becoming increasingly important in the artificial construction of natural images and related functionalities, wherein two types of networks called generators and discriminators evolve through adversarial mechanisms. Using deep convolutional neural networks...

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Detalles Bibliográficos
Autores principales: Naruse, Makoto, Matsubara, Takashi, Chauvet, Nicolas, Kanno, Kazutaka, Yang, Tianyu, Uchida, Atsushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736876/
https://www.ncbi.nlm.nih.gov/pubmed/31506525
http://dx.doi.org/10.1038/s41598-019-49397-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736876/
https://www.ncbi.nlm.nih.gov/pubmed/31506525
http://dx.doi.org/10.1038/s41598-019-49397-2

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