Improved Pattern Recognition with Artificial Clonal Selection?

In this paper, we examine the clonal selection algorithm CLONALG and the suggestion that it is suitable for pattern recognition. CLONALG is tested over a series of binary character recognition tasks and its performance compared to a set of basic binary matching algorithms. A number of enhancements a...

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Bibliographische Detailangaben

Hauptverfasser:	White, Jennifer A., Garrett, Simon M.
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Clonal Selection Computer science control theory systems Exact Copy Exact sciences and technology Memory Cell Pattern Class Pattern recognition. Digital image processing. Computational geometry Software Speech and sound recognition and synthesis. Linguistics Unseen Data
Online-Zugang:	Volltext
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