Non-linear system modelling via online clustering and fuzzy support vector machines
نویسندگان
چکیده
Abstract: This paper describes a novel non-linear modelling approach by online clustering, fuzzy rules and support vector machine. Structure identification is realised by an online clustering method and fuzzy support vector machines, and the fuzzy rules are generated automatically. Time-varying learning rates are applied for updating the membership functions of the fuzzy rules. Finally, the upper bounds of the modelling errors are proven.
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ورودعنوان ژورنال:
- IJMIC
دوره 4 شماره
صفحات -
تاریخ انتشار 2008