سال انتشار: ۱۳۸۶

محل انتشار: اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند

تعداد صفحات: ۸

نویسنده(ها):

Hadi Sadoghi Yazdi – Engineering Department, Tarbiat Moallem University of Sabzevar, Sabzevar, Iran
Seyed Ebrahim Hosseini – Engineering Department, Tarbiat Moallem University of Sabzevar, Sabzevar, Iran

چکیده:

In this paper, for the first time, unsupervised neuro-fuzzy system is presented and is applied in circuit analysis. Usually Neuro-fuzzy systems have a learning phase in which the system is trained with input data. But if the training set is unavailable, conventional procedures encounter serious problem. Due to unsupervised character, no learning data is needed. To investigate the method, linear circuit is analyzed. Results arecompared with the exact solution.