کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6866788 679063 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimized weights of document keywords for auto-reply accuracy
ترجمه فارسی عنوان
وزنهای کلیدی کلمات کلیدی برای دقت خودکار پاسخ
کلمات کلیدی
کلید واژه وزن، دقت خودکار پاسخ، یادگیری الکترونیکی، تکامل دیفرانسیل، روش تاگوچی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
A Taguchi-crossover differential evolution (TCDE) algorithm is proposed to optimize weights of document keywords for auto-reply accuracy. The proposed TCDE algorithm combines the use of differential evolution for exploring the optimal feasible region in macro-space with the use of the Taguchi method for exploiting the optimal solution in micro-space. For learning purpose, an answer needs to be exactly given for a specific query. Notably, teachers give a problem answer to elementary students who need to have the clear and accurate solution for learning according to their queries. This study shows the TCDE which integrates a cosine similarity measure and an evaluation function to successfully find the best weights of document keywords for auto-reply accuracy. Performance comparisons confirm that the TCDE algorithm outperforms existing methods presented in the literature in finding the best weights of document keywords and obtaining accurate answers.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 124, 26 January 2014, Pages 43-56
نویسندگان
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