A convolutional neural network based approach to financial time series prediction

Financial time series are chaotic that, in turn, leads their predictability to be complex and challenging. This paper presents a novel financial time series prediction hybrid that involves Chaos Theory, Convolutional neural network (CNN), and Polynomial Regression (PR). The financial time series is...

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Detalles Bibliográficos
Autores principales: Durairaj, Dr. M., Mohan, B. H. Krishna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
S.I.: Deep Learning for Time Series Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941655/
https://www.ncbi.nlm.nih.gov/pubmed/35345555
http://dx.doi.org/10.1007/s00521-022-07143-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941655/
https://www.ncbi.nlm.nih.gov/pubmed/35345555
http://dx.doi.org/10.1007/s00521-022-07143-2

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