Abstract: Mathematical model of vapor identification system is developed. Calibrating signals from vapor sensors are used to identify unknown input to vapor sensors and approximate output from eventual sensor system. Approximation formulas are resulted from pareto-optimum solution of multi-criterion problem. The developed method can be used to create new measuring-calculating systems within "device + PC = device with added benefits" framework.

Keywords: identification, an odorant, impacted data, measuring system, pareto-optimization

ACM Classification Keywords: I.6 Simulation and Modeling

Link:

PARETO-OPTIMUM APPROACH TO MATHEMATICAL MODELING OF ODOURS IDENTIFICATION SYSTEM

Andriy Zavorotnyy, Veda Kasyanyuk

http://www.foibg.com/ijima/vol01/ijima01-2-p07.pdf