کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
495338 862825 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An efficient genetic selection of the presentation order in simplified fuzzy ARTMAP patterns
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
An efficient genetic selection of the presentation order in simplified fuzzy ARTMAP patterns
چکیده انگلیسی


• The performance of simplified fuzzy ARTMAP (SFAM) is affected by the presentation order of the patterns.
• The genetic algorithm (GA) can be considered as a solution to pattern selection problem.
• A new genetic ordering method for SFAM is proposed to improve the performance of the algorithm.
• Compared to the conventional methods, the proposed SFAM demonstrates better classification performance.
• Our method can efficiently deliver the desirable properties of parents to their offspring.

Simplified fuzzy ARTMAP (SFAM) is used in numerous classification problems due to its high discriminant power and low training time. However, the performance of SFAM is affected by the presentation order of the training patterns. The genetic algorithm (GA) can be considered as a solution to the problem because the selection of the training pattern order is a complicated combinatorial problem in a large search space. In this paper, a new genetic ordering method for SFAM is proposed to improve the performance of the algorithm. Special genetic operators are employed in the genetic evolution. Compared to the conventional methods, the proposed SFAM demonstrates better classification performance since it can efficiently deliver the desirable properties of parents to their offspring. To demonstrate the performance of the proposed method, we perform experiments on various databases from the UCI repository.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 22, September 2014, Pages 101–107
نویسندگان
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