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Approximating Discontinuous Functions using Takagi-Sugeno-Kang Fuzzy Models
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| Author(s) |
Marcin Jastrzêbski |
| Abstract |
In this paper generalized model Takagi-Sugeno-
Kang for approximating of discontinuous function is proposed.
For tuning described model algorithm being a combination of
bacterial algorithm and least square method is used. Efficient of
proposed model with tuning method is illustrated by some
examples.
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| Download |
| Filename: | 167 |
| Filesize: | 709.9 KB |
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| Type |
Members Only |
| Date |
Last modified 2006-02-08 by System |
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