Proceedings ArticleDOI
Clonal selection based Artificial Immune System for generalized pattern recognition
Terry Huntsberger
- pp 3090-3095
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TLDR
The paper presents the underlying structure of AISLE and the results from a number of experimental studies, and shows how the method efficiently isolates the appropriate matches in the data set and has been shown to perform as well as traditional clustering methods.Abstract:
The last two decades has seen a rapid increase in the application of AIS (Artificial Immune Systems) modeled after the human immune system to a wide range of areas including network intrusion detection, job shop scheduling, classification, pattern recognition, and robot control. JPL (Jet Propulsion Laboratory) has developed an integrated pattern recognition/classification system called AISLE (Artificial Immune System for Learning and Exploration) based on biologically inspired models of B-cell dynamics in the immune system. When used for unsupervised or supervised classification, the method scales linearly with the number of dimensions, has performance that is relatively independent of the total size of the dataset, and has been shown to perform as well as traditional clustering methods. When used for pattern recognition, the method efficiently isolates the appropriate matches in the data set. The paper presents the underlying structure of AISLE and the results from a number of experimental studies.read more
Citations
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An artificial immune system based visual analysis model and its real-time terrain surveillance application
TL;DR: A real-time visual analysis system for surveillance applications based on an Artificial Immune System inspired framework that can reliably detect unknown patterns in input image sequences and dynamical changes in image sequences is presented.
Journal ArticleDOI
Artificial Immune Clonal Selection Based Algorithm in Academic Talent Selection
TL;DR: This article attempts to study the potential of clonal selection based algorithms for talent selection in higher learning institution and proposed Clonal Selection Classifier (CSCA) and CLONal Selection ALGorithm (CLONALG) algorithms proposed slightly high accuracy and would be considered as the potential classifiers for Talent selection.
Proceedings ArticleDOI
A new clonal selection algorithm based on radius regularization of anomaly detectors
TL;DR: A novel algorithm is proposed to achieve suitable accuracy independent of self-region radius using learning automata for anomaly detection based on Artificial Immune system.
Proceedings ArticleDOI
A Novel Artificial Immune Algorithm and Its Application to Micro-strip Antenna Array Design
TL;DR: A novel algorithm -artificial immune algorithm (AIA) which is inspired by the biological artificial immune system (AIS) for optimal problems is employed to a micro-strip antenna design for gain improvement and bandwidth extension.
References
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The quickhull algorithm for convex hulls
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Learning and optimization using the clonal selection principle
L.N. de Castro,F.J. Von Zuben +1 more
TL;DR: This paper proposes a computational implementation of the clonal selection principle that explicitly takes into account the affinity maturation of the immune response and derives two versions of the algorithm, derived primarily to perform machine learning and pattern recognition tasks.