A Novel Hybrid Structure and Criteria in Modeling and Identification
Publish place: 1st Joint Congress on Fuzzy and Intelligent Systems
Publish Year: 1386
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
FJCFIS01_105
تاریخ نمایه سازی: 14 خرداد 1387
Abstract:
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.
Authors
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
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