| Autor: |
Georg Wirth, D.A. Mlynski, C.F. Ball |
| Rok vydání: |
2002 |
| Předmět: |
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| Zdroj: |
Proceedings of IEEE 5th International Fuzzy Systems. |
| DOI: |
10.1109/fuzzy.1996.552371 |
| Popis: |
We propose an efficient strategy for qualitative analysis of measured polymer spectra based on fast wavelet transforms and fuzzy set theory. First, a wavelet transform is applied to the measured data acting as a feature extractor. Then, a fuzzy classification algorithm separates different spectra into various clusters thus giving a qualitative interpretation of the ingredients due to calculated membership values. For that we implemented a special rule based approach with fuzzy if-then rules, a fuzzy c-means algorithm and a fuzzy Kohonen cluster algorithm. The three classification algorithms are compared and results are given. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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