DocumentCode
1844671
Title
Implementation of String Recognition Algorithm Based on the Principle of Artificial Immunology
Author
Ye, Junmin ; Wang, Junjie ; Dong, Wei ; Qi, Zhichang
Author_Institution
Dept. of Comput. Sci., Central China Normal Univ., Wuhan
fYear
2008
fDate
18-21 Nov. 2008
Firstpage
1777
Lastpage
1782
Abstract
Artificial immune system simulates the principle of lymphocytes in the natural immune system, detects abnormality in objects to be tested through the immune response mechanism. Based on the r-row-matching algorithm, we propose a two-stage r-row-matching algorithm. According to the concept of immunity, the immunity process and mechanism, we design self-set and detector-set by using a sliding window. On this basis, the self-set, the detector-set and other generating algorithm, as well as the algorithm of detector-set training are implemented. Finally, based on the data structure of sliding window, the string recognition algorithm is implemented. Experiments show that the algorithm can effectively carry out string identification.
Keywords
artificial immune systems; data structures; learning (artificial intelligence); string matching; artificial immune system; data structure; detector-set training; self-set mechanism; sliding window; string recognition algorithm; two-stage r-row-matching algorithm; Artificial immune systems; Computational modeling; Computer science; Computer simulation; Data structures; Detectors; Immune system; Monitoring; Object detection; System testing; Artificial Immunology; immune response; sliding window; string recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location
Hunan
Print_ISBN
978-0-7695-3398-8
Electronic_ISBN
978-0-7695-3398-8
Type
conf
DOI
10.1109/ICYCS.2008.200
Filename
4709243
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