A Novel Unsupervised Neuro-Fuzzy System Applied to Circuit Analysis
عنوان مقاله: A Novel Unsupervised Neuro-Fuzzy System Applied to Circuit Analysis
شناسه ملی مقاله: FJCFIS01_001
منتشر شده در اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند در سال 1386
شناسه ملی مقاله: FJCFIS01_001
منتشر شده در اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند در سال 1386
مشخصات نویسندگان مقاله:
Hadi Sadoghi Yazdi - Engineering Department, Tarbiat Moallem University of Sabzevar, Sabzevar, Iran
Seyed Ebrahim Hosseini - Engineering Department, Tarbiat Moallem University of Sabzevar, Sabzevar, Iran
خلاصه مقاله:
Hadi Sadoghi Yazdi - Engineering Department, Tarbiat Moallem University of Sabzevar, Sabzevar, Iran
Seyed Ebrahim Hosseini - Engineering Department, Tarbiat Moallem University of Sabzevar, Sabzevar, Iran
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 are compared with the exact solution.
کلمات کلیدی: Unsupervised neuro-fuzzy system, Circuit analysis
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/52492/