سال انتشار: ۱۳۹۰

محل انتشار: سومین کنفرانس مهندسی برق و الکترونیک ایران

تعداد صفحات: ۶

نویسنده(ها):

Narges shafaei bajestani – Islamic Azad University , Branch of Gonabad Gonabad, Iran
Asef Zare – Islamic Azad University , Branch of Gonabad Gonabad, Iran line 3: City, Country

چکیده:

In this paper, TAIEX is forecasted by use of optimized fuzzy time series. this study applies a backpropagation neural network because of nonlinear structures of TAIEX. The empirical results show that the proposed model outperforms conventional fuzzy time series models.