Calibration of fiber-optic sensors using universal approximators

Abstract

A calibration-through-learning method for fiber-optic sensors in measurement systems is presented. The method involves exact integral representations of the measurand value, initially using a continuum of hidden processing units. In the next step, discrete subsets of the continuum uniformly approximate the measurand. This allows for a design of connectionist networks capable of the same approximation capability.<>