سال انتشار: ۱۳۸۳

محل انتشار: دهمین کنفرانس سالانه انجمن کامپیوتر ایران

تعداد صفحات: ۹

نویسنده(ها):

m saniee abadeh – department ofcomputerl engineering sharif unieversity of technology
j habini – department ofcomputerl engineering sharif unieversity of technology
c lucas – department of electrical engineering tehran unieversity

چکیده:

fuzzy systems have demonstrated their ability to solve different kinds of problems in various applications domains currently there is an increasing interest to augment fuzzy systems with learning and adaptation capabilities two of the most successful approaches to hybridize fuzzy systems with learning and adaptation methods have been made in the realm of soft computing neural fuzzy systmes and gentic fuzzy systems hybridize the approximate reasoning method of fuzzy systems with learning capabilities of neural networks and evolutionary algorithms .