Cargando…
Financial Time Series Prediction Using Spiking Neural Networks
In this paper a novel application of a particular type of spiking neural network, a Polychronous Spiking Network, was used for financial time series prediction. It is argued that the inherent temporal capabilities of this type of network are suited to non-stationary data such as this. The performanc...
Autores principales: | Reid, David, Hussain, Abir Jaafar, Tawfik, Hissam |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149346/ https://www.ncbi.nlm.nih.gov/pubmed/25170618 http://dx.doi.org/10.1371/journal.pone.0103656 |
Ejemplares similares
-
Predicting Physical Time Series Using Dynamic Ridge Polynomial Neural Networks
por: Al-Jumeily, Dhiya, et al.
Publicado: (2014) -
The relationship between non-motor features and weight-loss in the premanifest stage of Huntington’s disease
por: Khan, Wasiq, et al.
Publicado: (2021) -
Financial Time Series Prediction Using Elman Recurrent Random Neural Networks
por: Wang, Jie, et al.
Publicado: (2016) -
Neural Networks for Financial Time Series Forecasting
por: Sako, Kady, et al.
Publicado: (2022) -
Spiking neural networks for predictive and explainable modelling of multimodal streaming data with a case study on financial time series and online news
por: AbouHassan, Iman, et al.
Publicado: (2023)