کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
474930 | 699171 | 2006 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge](/preview/png/474930.png)
چکیده انگلیسی
Provided with plenty of data (experience), data mining techniques are widely used to extract suitable management skills from the data. Nevertheless, in the early stages of a manufacturing system, only rare data can be obtained, and built scheduling knowledge is usually fragile. Using small data sets, this research's purpose is improving the accuracy of machine learning for flexible manufacturing system (FMS) scheduling. The study develops a data trend estimation technique and combines it with mega-fuzzification and adaptive-network-based fuzzy inference systems (ANFIS). The results of the simulated FMS scheduling problem indicate that learning accuracy can be significantly improved using the proposed method involving a very small data set.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Operations Research - Volume 33, Issue 6, June 2006, Pages 1857–1869
Journal: Computers & Operations Research - Volume 33, Issue 6, June 2006, Pages 1857–1869
نویسندگان
Der-Chiang Li, Chih-Sen Wu, Tung-I Tsai, Fengming M. Chang,