A New Method to Match Set Generation in XCS
عنوان مقاله: A New Method to Match Set Generation in XCS
شناسه ملی مقاله: IIEC05_179
منتشر شده در پنجمین کنفرانس بین المللی مهندسی صنایع در سال 1386
شناسه ملی مقاله: IIEC05_179
منتشر شده در پنجمین کنفرانس بین المللی مهندسی صنایع در سال 1386
مشخصات نویسندگان مقاله:
Siamak Noori - Industrial Engineering Department of Iran University of Technology, Assistant Professor
Alireza Hajiakhoundi - Payamnoor University - Parand Branch
Mashall Aryan - Payamnoor University - Parand Branch
خلاصه مقاله:
Siamak Noori - Industrial Engineering Department of Iran University of Technology, Assistant Professor
Alireza Hajiakhoundi - Payamnoor University - Parand Branch
Mashall Aryan - Payamnoor University - Parand Branch
The XCS classifier system has shown to solve typical classification problems competitively to other machine learning algorithms. This paper is to introduce a flexible classifier selection method for generating match set, with respect to the system performance during the training. It also presents a complementary part for the Search Component of the classifier system in which new classifiers are created regarding the input message form the environment, and previous knowledge. The modified XCS learns more reliable and performs obviously better than traditional XCS.
کلمات کلیدی: artificial intelligence, learning classifier system, XCS , data mining
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/19356/