Effective Gas Identification Model based on Fuzzy Logic and Hybrid Genetic Algorithms

Yonug-Keun Bang, Hyung-Gi Byun, Chul-Heui Lee
2012 Journal of Sensor Science and Technology  
This paper presents an effective design method for a gas identification system. The design method adopted the sequential combination between the hybrid genetic algorithms and the TSK fuzzy logic system. First, the sensor grouping method by hybrid genetic algorithms led the effective dimensional reduction as well as effective pattern analysis from a large volume of pattern dimensions. Second, the fuzzy identification sub-models allowed handling the uncertainty of the sensor data extensively. By
more » ... hese advantages, the proposed identification model demonstrated high accuracy rates for identifying the five different types of gases; it was confirmed throughout the experimental trials.
doi:10.5369/jsst.2012.21.5.329 fatcat:batk3ipoqfae5pvxo66fwk7gaq