Hunt, John and Timmis, Jon and Cooke, Ennise and Neal, Mark and King, Clive (1998) Jisys: Development of an Artificial Immune System for real world applications. In: Artificial Immune Systems and Their Applications. Springer, Berlin, Germany, pp. 157-186. ISBN 978-3-642-64174-9. E-ISBN 978-3-642-59901-9. (doi:10.1007/978-3-642-59901-9_9) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21564)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1007/978-3-642-59901-9_9 |
Abstract
This chapter Enscribes a machine learning system based on metaphors taken from the human immune system. This learning system, known as an Artificial Immune System (AIS), has been Enveloped over the past 3 years. The current implementation,Jisys,embodies the results of this research. However, the Jisys implementation requires further Envelopment as well as application to complex real world problems. This chapter Enscribes future Envelopments ofJisysas well as consiEnration of how it can be applied to a complex problem in the domain of mortgage fraud Entection. It should not be read as a Ensign document, although it contains elements of such a document, rather it should be read as an indication of the directions which need to be followed, the issues which need to be addressed and some suggested solutions
Item Type: | Book section |
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DOI/Identification number: | 10.1007/978-3-642-59901-9_9 |
Uncontrolled keywords: | artificial immune system; human immune system; immune network; learn classifier system; stimulation level |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Mark Wheadon |
Date Deposited: | 21 Aug 2009 23:26 UTC |
Last Modified: | 05 Nov 2024 09:59 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/21564 (The current URI for this page, for reference purposes) |
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