کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
496950 862873 2011 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identification of the linear parts of nonlinear systems for fuzzy modeling
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Identification of the linear parts of nonlinear systems for fuzzy modeling
چکیده انگلیسی

In direct approach to fuzzy modeling, structure identification is one of the most critical tasks. In modeling the nonlinear system, this fact is more crucial. In this paper, a new hybrid method is proposed to cluster the data located in the linear parts on the nonlinear systems. The proposed method can partition the input–output data in two groups: data located in the linear parts and data in the extrema. It is shown that the first group of data is suitable to be clustered by Fuzzy C-Regression Model (FCRM) clustering algorithm and the second group by Fuzzy C-Means (FCM). Then, based on the above findings, a new hybrid clustering algorithm is proposed. Finally, the proposed approach is tested and validated by several numerical examples of nonlinear functions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 11, Issue 1, January 2011, Pages 807–819
نویسندگان
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