A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network

In this paper, we propose a hybrid method to forecast the stock prices called High-order-fuzzy-fluctuation-Trends-based Back Propagation(HTBP)Neural Network model. First, we compare each value of the historical training data with the previous day's value to obtain a fluctuation trend time serie...

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Detalles Bibliográficos
Autores principales: Guan, Hongjun, Dai, Zongli, Zhao, Aiwu, He, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805297/
https://www.ncbi.nlm.nih.gov/pubmed/29420584
http://dx.doi.org/10.1371/journal.pone.0192366

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805297/
https://www.ncbi.nlm.nih.gov/pubmed/29420584
http://dx.doi.org/10.1371/journal.pone.0192366

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