Simulation of information processing algorithms in optical neuron networks in training and recognition modes

摘要

Simulation results for information processing models and algorithms in optical neural networks (ONN) in the teaching and recognition modes are presented. They are based on equivalent operations of continuous logic and Boolean operations of coincidence, as well as vector-matrix procedures with normalization and threshold operation. It is proved that models based on these operations are united and common for various methods of coding.