سال انتشار: ۱۳۹۰

محل انتشار: یازدهمین کنفرانس سیستم های فازی ایران

تعداد صفحات: ۷

نویسنده(ها):

rahman farnoosh – school of mathematics iran university of science and technology
javad ghasemian – school of mathematics iran university of science and technology

چکیده:

regularization methods are used in linear and nonlinear regression models to yield consistent estimators . We can use regularization with a ridge penalty. We propose a weighted ridge penalty on a fuzzy nonlinear regression model then select the number of basis functions and smoothing parameter.