Fuzzy-rules-based modeling case study: fuzzy DSP-based thermometer

Honglian Sng; Patrick Chow

doi:10.1117/12.342907

22 March 1999 Fuzzy-rules-based modeling case study: fuzzy DSP-based thermometer

Honglian Sng, Patrick Chow

Proceedings Volume 3722, Applications and Science of Computational Intelligence II; (1999) https://doi.org/10.1117/12.342907
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

This paper shows the procedure to derive a qualitative description of a single-input-single-output system. From the system numerical input-output data a fuzzy model is constructed using the mountain method for structure identification and the back-propagation method for parameter identification. The procedure is used in the implementation of a fuzzy logic based digital thermometer using a TMS320C50 DSP board. This thermometer is able to predict a patient's body temperature more quickly than that of a conventional thermometer with very good accuracy.

Citation Download Citation

Honglian Sng and Patrick Chow "Fuzzy-rules-based modeling case study: fuzzy DSP-based thermometer", Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); https://doi.org/10.1117/12.342907

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