کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
409399 679069 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Using gravitational search algorithm in prototype generation for nearest neighbor classification
ترجمه فارسی عنوان
با استفاده از الگوریتم جستجوی گرانشی در تولید نمونه اولیه برای نزدیکترین طبقه بندی همسایه
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

In recent years, metaheuristic algorithms have emerged as a promising approach to solve clustering and classification problems. In this paper, gravitational search algorithm (GSA) which is one of the newest swarm based metaheuristic search techniques, is adapted to generate prototypes for nearest neighbor classification. The proposed method has been tested on several problems and the results are compared with those obtained by several state-of-the-art techniques. The comparison shows that our proposed method can achieve higher classification accuracy than the competing methods and has good performance in the field of prototype generation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 157, 1 June 2015, Pages 256–263
نویسندگان
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