Static calibration of transducers using parametrization and neural-network-based approximation
Piotr Kluk, Roman Z. Morawski · 2002
The problem of static calibration of transducers converting a static measurand into a function is considered. The neural-network-based methodology is developed and examined using synthetic data representing a real biosensor. The important part of this methodology is compression of the calibration data.