A Novel Hybrid Structure and Criteria in Modeling and Identification
عنوان مقاله: A Novel Hybrid Structure and Criteria in Modeling and Identification
شناسه ملی مقاله: FJCFIS01_105
منتشر شده در اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند در سال 1386
شناسه ملی مقاله: FJCFIS01_105
منتشر شده در اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند در سال 1386
مشخصات نویسندگان مقاله:
A Jajarmi - Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
H. F. Marj - Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
N. Pariz - Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
R Shahnazi - Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
خلاصه مقاله:
A Jajarmi - Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
H. F. Marj - Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
N. Pariz - Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
R Shahnazi - Electrical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
In this paper, a hybrid structure based on combination of linear and fuzzy models is proposed.
The proposed structure is a trade-off between goodness of fit and modeling simplicity. For evaluation of
the hybrid model two criteria are also suggested which are compatible with both Akaike Information Criterion (AIC) and Schwarz-Rissanen Information Criterion (SRIC), respectively. The proposed criteria can also be used for evaluation of both linear and fuzzy models. The proposed hybrid structure is used to
model a transformer’s current time series and results are compared with linear and fuzzy models by using suggested criteria. Comparison results indicate the effectiveness of the proposed hybrid structure.
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/52595/