| EPSRC Reference: |
GR/K74142/01 |
| Title: |
MACHINE LEARNING MECHANISMS BASED ON THE IMMUNE SYSTEM |
| Principal Investigator: |
Neal, Dr MJ |
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| Department: |
Computer Science |
| Organisation: |
Aberystwyth University |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 March 1996 |
Ends: |
31 May 1999 |
Value (£): |
136,464
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Summary on Grant Application Form |
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We have shown that the AIS learning system which is self organising, explicitly represents the information it has learnt, is noise tolerant and learns in an unsupervised manner. It differs from neural networks and learning classifier systems in a number of significant aspects. Hence, it has the potential to be applicable in situations where the other systems are not. The specific work of the project involves further research into the algorithms, representations and operation of our prototype Artificial Immune System. It requires the investigation of the capabilities of such a system on test suite problems, and its performance on real-world applications. If the AIS out-performs other learning systems on specific classes of problems, it will be an important development.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.aber.ac.uk |