کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
394786 665842 2008 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The theoretical foundations of statistical learning theory based on fuzzy number samples
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
The theoretical foundations of statistical learning theory based on fuzzy number samples
چکیده انگلیسی

Statistical learning theory based on real-valued random samples has been regarded as a better theory on statistical learning with small sample. The key theorem of learning theory and bounds on the rate of convergence of learning processes are important theoretical foundations of statistical learning theory. In this paper, the theoretical foundations of the statistical learning theory based on fuzzy number samples are discussed. The concepts of fuzzy expected risk functional, fuzzy empirical risk functional and fuzzy empirical risk minimization principle are redefined. The key theorem of learning theory based on fuzzy number samples is proved. Furthermore, the bounds on the rate of convergence of learning processes based on fuzzy number samples are discussed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 178, Issue 16, 15 August 2008, Pages 3240–3246
نویسندگان
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