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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4900562/ https://ncbi.nlm.nih.gov/pubmed/27281032 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0157028 |
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