Abstract
Some issues regarding the optimization of sensor arrays are discussed. The criteria considered here are based on Lorber's figures of merit and nonlinear generalizations thereof. Especially, it is discussed how the averaging over the analyte space should be performed for nonlinear data and what optimization criterion should be used. A genetic algorithm is used as optimization algorithm. These considerations are used for sensor selection and sensor reduction of surface acoustic wave sensor devices applied in preparative process high performance liquid chromatography.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
