Output details
11 - Computer Science and Informatics
Liverpool Hope University
Output title
A Spiking Neural Network for Financial Prediction
Type
E - Conference contribution
DOI
-
Name of conference/published proceedings
Proceedings of International Joint Conference on Neural Networks (2013)
Volume number
1
Issue number
1
First page of article
3111
ISSN of proceedings
2161-4393
Year of publication
2013
Number of additional authors
2
Additional information
<24> A Polychronous Spiking Network is applied to financial time series that demonstrates that information that was once deemed too temporally dynamic for real analysis may now become realistically analysable.
This work was carried out jointly by staff members at Liverpool Hope University and Liverpool John Moores University.
Interdisciplinary
-
Cross-referral requested
-
Research group
1 - Centre for Applicable Mathematics and Systems Science (CAMSS)
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
