Forecast Modelling via Variations in Binary Image-Encoded Information Exploited by Deep Learning Neural Networks

Traditional forecasting models fit a function approximation from dependent invariables to independent variables. However, they usually get into trouble when date are presented in various formats, such as text, voice and image. This study proposes a novel image-encoded forecasting method that input a...

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Detalles Bibliográficos
Autores principales: Liu, Da, Xu, Ming, Niu, Dongxiao, Wang, Shoukai, Liang, Sai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4900562/
https://www.ncbi.nlm.nih.gov/pubmed/27281032
http://dx.doi.org/10.1371/journal.pone.0157028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4900562/
https://www.ncbi.nlm.nih.gov/pubmed/27281032
http://dx.doi.org/10.1371/journal.pone.0157028

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