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Proceedings Paper

Fuzzy-rules-based modeling case study: fuzzy DSP-based thermometer
Author(s): Honglian Sng; Patrick Chow
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Paper 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.

Paper Details

Date Published: 22 March 1999
PDF: 7 pages
Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); doi: 10.1117/12.342907
Show Author Affiliations
Honglian Sng, Singapore Polytechnic (Singapore)
Patrick Chow, Singapore Polytechnic (Singapore)


Published in SPIE Proceedings Vol. 3722:
Applications and Science of Computational Intelligence II
Kevin L. Priddy; Paul E. Keller; David B. Fogel; James C. Bezdek, Editor(s)

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