توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱A Novel Hybrid Structure and Criteria in Modeling and Identification
نویسنده(ها): ، ، ،
اطلاعات انتشار: اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند، سال
تعداد صفحات: ۶
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.<\div>
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