William Wilson
Oil Price Trackers Inspired by Immune Memory
Wilson, William; Birkin, Phil; Aickelin, Uwe
Authors
Phil Birkin
Uwe Aickelin
Abstract
We outline initial concepts for an immune inspired algorithm to evaluate and predict oil price time series data. The proposed solution evolves a short term pool of trackers dynamically, with each member attempting to map trends and anticipate future price movements. Successful trackers feed into a long term memory pool that can generalise across repeating trend patterns. The resulting sequence of trackers, ordered in time, can be used as a forecasting tool. Examination of the pool of evolving trackers also provides valuable insight into the properties of the crude oil market.
Citation
Wilson, W., Birkin, P., & Aickelin, U. Oil Price Trackers Inspired by Immune Memory.
Conference Name | Proceedings of the Workshop on Artificial Immune Systems and Immune System Modelling (AISB 2006) |
---|---|
Deposit Date | Oct 22, 2007 |
Publicly Available Date | Mar 28, 2024 |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/1019776 |
Files
06aisb_wilson.pdf
(20 Kb)
PDF
You might also like
A Method for Evaluating Options for Motif Detection in Electricity Meter Data
(2018)
Journal Article
Using simulation to incorporate dynamic criteria into multiple criteria decision making
(2017)
Journal Article
THCluster: herb supplements categorization for precision traditional Chinese medicine
(2017)
Conference Proceeding
Measuring behavioural change of players in public goods game
(2017)
Book Chapter
Robust datamining
(2017)
Conference Proceeding
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: digital-library-support@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search