کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
495143 862816 2015 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel support vector regression for data set with outliers
ترجمه فارسی عنوان
رگرسیون حمایتی جدید برای داده های مجموعه ای با ردیف ها
کلمات کلیدی
رگرسیون بردار پشتیبانی، دادههای خارج از محدوده، نظریه فازی ماتریس ناسازگاری، همسایه ها اپراتور را مطابقت می دهند
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• Support vector machine is sensitive to the outliers.
• A novel support vector regression together with fuzzification theory, inconsistency matrix and neighbors match operator is presented.
• The objective of this novel support vector regression is to increase the generalization ability for data set with outliers.

Support vector machine (SVM) is sensitive to the outliers, which reduces its generalization ability. This paper presents a novel support vector regression (SVR) together with fuzzification theory, inconsistency matrix and neighbors match operator to address this critical issue. Fuzzification method is exploited to assign similarities on the input space and on the output response to each pair of training samples respectively. The inconsistency matrix is used to calculate the weights of input variables, followed by searching outliers through a novel neighborhood matching algorithm and then eliminating them. Finally, the processed data is sent to the original SVR, and the prediction results are acquired. A simulation example and three real-world applications demonstrate the proposed method for data set with outliers.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 31, June 2015, Pages 405–411
نویسندگان
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