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- W194774920 abstract "We present a comparative performance analysis between three methods (fuzzy c-means and fuzzy subtractive clustering based fuzzy inference systems and partial-least-square regression) for simultaneous determination of vapor identity and concentration in gas sensing applications. Taking poly-isobutylene coated surface acoustic wave sensor transients for measurements we analyzed simulated data for seven volatile organic compounds by applying these methods as a function of polymer film thickness. The sensor transients were represented by discrete wavelet approximation coefficients. It is found that PLS regression performs most optimally for both discrimination between vapor identities and simultaneous estimation of their concentration." @default.
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- W194774920 date "2014-01-01" @default.
- W194774920 modified "2023-10-16" @default.
- W194774920 title "Quantitative Identification of Volatile Organics by SAW Sensor Transients ‒ Comparative Performance Analysis of Fuzzy Inference and Partial-Least-Square-Regression Methods" @default.
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- W194774920 doi "https://doi.org/10.1007/978-3-319-02931-3_2" @default.
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