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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shmilovici, A. Maimon, O. |
| Copyright Year | 1997 |
| Description | Author affiliation: Dept. of Manuf. Eng., Boston Univ., MA, USA (Shmilovici, A.) |
| Abstract | This paper describes the use of a nonlinear modeling procedure-building a fuzzy spline wavelets (FSW) model. FSW models are produced with a two step process: in the first step, the data set is compressed and denoised with the use of the fast wavelet transform; and in the second stage, the results of the first stage are presented as a fuzzy rule base with the use of linguistic variables. The hybrid model enjoys the excellent numerical and computational characteristics of the fast wavelet transform, combined with the ability to describe the accumulated knowledge in a human like way, in the form of simple IF...THEN rules using linguistic variables. The method is demonstrated for a truck backing problem. |
| Starting Page | 299 |
| Ending Page | 304 |
| File Size | 529559 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780337964 |
| DOI | 10.1109/FUZZY.1997.616385 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-07-05 |
| Publisher Place | Barcelona |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | System identification Fuzzy systems Spline Wavelet transforms Fuzzy sets Humans Pulp manufacturing Virtual manufacturing Industrial engineering Mathematical model |
| Content Type | Text |
| Resource Type | Article |
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