2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/32543An effective neural network algorithm of the perceptron type is proposed. The algorithm allows us to identify strongly distorted input vector reliably. It is shown that its reliability and processing speed are orders of magnitude higher than that of full connected neural networks. The processing speed of our algorithm exceeds the one of the stack fast-access retrieval algorithm that is modified for working when there are noises in the input channel.4 pages, Presentation on the 7th International Conference on Pattern Recognition and Image Analysis PRIA-07-2004, St. Petersburg, RussiaNeural and Evolutionary ComputingComputer Vision and Pattern Recognitiontext