Neural Network Signal Processing of a Quasi-Distributed Fiber-Optic Measuring Network with Amplitude Sensors

he possibility of neural network signal processing of a tomography quasi-distributed fiber-optic measuring network is shown. The measuring network presents several nonlinear measuring lines with fiber-optical amplitude sensing elements. The data processing is carried out by a neural network containing an inner layer of nonlinear neurons. As a result, the distribution function of the measuring physical field is reconstructed. The results of numerical experiments, as well as experiments with the layout of a measuring network of dimension 8 × 8, are presented.