The neural network algorithms for correction of signals distorted in photodetectors

Neural network algorithms for correction of distortions in photodetectors are considered. The first one allows one to eliminate the errors due to single-photon pulses overlapping. The second algorithm is used for correction of spatial dependence of sensitivity and cross-talk effects in line image detector.