Image recognition using Artificial Immune systems approach
Organized by School of Engineering and Information Technology, Universiti Malaysia Sabah, 3rd - 5th August 2004, Kota Kinabalu, Sabah, Malaysia.
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Universiti Malaysia Sabah
2009
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my.unimap-64222009-07-10T03:43:10Z Image recognition using Artificial Immune systems approach Hasnah, Ahmad Puteh, Saad Artificial Immune Systems Negative Selection Pattern Recognition Self Pattern Non-self Pattern Immune systems -- Computer simulation Neural networks (Computer science) Organized by School of Engineering and Information Technology, Universiti Malaysia Sabah, 3rd - 5th August 2004, Kota Kinabalu, Sabah, Malaysia. This paper describes the initial stage in developing the concepts of Artificial Immune System (AIS) in solving engineering problems such as pattern recognition and optimization. The purpose of this paper is to perform an analysis on the pattern recognition using AIS approach. The negative selection algorithm (NSA) has been selected as a tool to solve the problem due to its simplicity as compared to other immune models and algorithms and its suitability to model pattern recognition problem. Binary matching rules are usually implemented in NSA since binary strings provide easy manipulation in computer and easy to reason with and display. This paper compares the performance of two different binary matching rules; the Hamming distance matching and the r-contiguous bit matching rule in distinguishing the non-self pattern from the self pattern in pattern recognition problem. The results obtained show the percentage rate of detection accuracy for both matching rules. It can be concluded that both matching rules provide high detection rate if the threshold parameter value is decreased. Finally, conclusions of the study are presented and future direction work is specified. 2009-07-10T03:43:10Z 2009-07-10T03:43:10Z 2004-08-03 Working Paper p.291-295 http://hdl.handle.net/123456789/6422 en Proceedings of the Second International Conference on Artificial Intelligence in Engineering & Technology (iCAiET 2004) Universiti Malaysia Sabah |
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English |
| topic |
Artificial Immune Systems Negative Selection Pattern Recognition Self Pattern Non-self Pattern Immune systems -- Computer simulation Neural networks (Computer science) |
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Artificial Immune Systems Negative Selection Pattern Recognition Self Pattern Non-self Pattern Immune systems -- Computer simulation Neural networks (Computer science) Hasnah, Ahmad Puteh, Saad Image recognition using Artificial Immune systems approach |
| description |
Organized by School of Engineering and Information Technology, Universiti Malaysia Sabah, 3rd - 5th August 2004, Kota Kinabalu, Sabah, Malaysia. |
| format |
Working Paper |
| author |
Hasnah, Ahmad Puteh, Saad |
| author_facet |
Hasnah, Ahmad Puteh, Saad |
| author_sort |
Hasnah, Ahmad |
| title |
Image recognition using Artificial Immune systems approach |
| title_short |
Image recognition using Artificial Immune systems approach |
| title_full |
Image recognition using Artificial Immune systems approach |
| title_fullStr |
Image recognition using Artificial Immune systems approach |
| title_full_unstemmed |
Image recognition using Artificial Immune systems approach |
| title_sort |
image recognition using artificial immune systems approach |
| publisher |
Universiti Malaysia Sabah |
| publishDate |
2009 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/6422 |
| _version_ |
1643788512251609088 |
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13.214268 |