Applying genetic algorithms on pattern recognition: An analysis and survey

Yuan Kai Wang, Kuo Chin Fan

研究成果: 書貢獻/報告類型會議論文篇章同行評審

21 引文 斯高帕斯(Scopus)

摘要

In this paper, a concise mode is proposed to model a fundamental pattern recognition problem. From this concise mode, three optimization subproblems of pattern recognition are discussed. The reason why genetic algorithms are appropriate for solving pattern recognition problems are explained by comparing the advantages and disadvantages of various kinds of approaches. The status of applying genetic algorithms on pattern recognition is surveyed in this paper.

原文???core.languages.en_GB???
主出版物標題Track B
主出版物子標題Pattern Recognition and Signal Analysis
發行者Institute of Electrical and Electronics Engineers Inc.
頁面740-744
頁數5
ISBN(列印)081867282X, 9780818672828
DOIs
出版狀態已出版 - 1996
事件13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
持續時間: 25 8月 199629 8月 1996

出版系列

名字Proceedings - International Conference on Pattern Recognition
2
ISSN(列印)1051-4651

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???event.eventtypes.event.conference???13th International Conference on Pattern Recognition, ICPR 1996
國家/地區Austria
城市Vienna
期間25/08/9629/08/96

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