The application of antigenic search techniques to time series forecasting

Authors:
Ian Nunn;Tony White
Affiliations:
Carleton University, Ottawa, Canada;Carleton University, Ottawa, Canada
Venue:
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Year:
2005

Citing 9
Cited 10

Swarm intelligence

Swarm intelligence
Artificial Immune Systems: A New Computational Intelligence Paradigm

Artificial Immune Systems: A New Computational Intelligence Paradigm
Self-Nonself Discrimination in a Computer

SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
An Immunological Approach to Change Detection: Algorithms, Analysis and Implications

SP '96 Proceedings of the 1996 IEEE Symposium on Security and Privacy
The cross-reactive immune response: analysis, modeling, and application to vaccine design

The cross-reactive immune response: analysis, modeling, and application to vaccine design
Operating system stability and security through process homeostasis

Operating system stability and security through process homeostasis
Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm

Genetic Programming and Evolvable Machines
Intrusion detection using sequences of system calls

Journal of Computer Security
A hybrid of genetic algorithm and particle swarm optimization for recurrent network design

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Procreating V-detectors for nonself recognition: an application to anomaly detection in power systems

Proceedings of the 9th annual conference on Genetic and evolutionary computation
Recurrent Neural Networks on Duty of Anomaly Detection in Databases

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Some Issues on Intrusion Detection in Web Applications

ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
A New Algorithm Based on Negative Selection and Idiotypic Networks for Generating Parsimonious Detector Sets for Industrial Fault Detection Applications

ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Shuffle design to improve time series forecasting accuracy

CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Detecting motifs in system call sequences

WISA'07 Proceedings of the 8th international conference on Information security applications
Tracing SQL attacks via neural networks

PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Predictor agent for online auctions

KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Price trackers inspired by immune memory

ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Time series have been a major topic of interest and analysis for hundreds of years, with forecasting a central problem. A large body of analysis techniques has been developed, particularly from methods in statistics and signal processing. Evolutionary techniques have only recently have been applied to time series problems. To date, applications of artificial immune system (AIS) techniques have been in the area of anomaly detection. In this paper we apply AIS techniques to the forecasting problem. We characterize a class of search algorithms we call antigenic search and show their ability to give a good forecast of next elements in series generated from Mackey-Glass and Lorenz equations.