Convergence analysis of a large-size optical-electronic neural net is performed within the framework of numerical model (on the basis of optoelectronic vector-matrix multiplier) to recognise the medium-size images. Main restoration parameters are investigated for two classes of noisy binary images: non-contoured images ("pictures") and contoured ones (letters of Roman alphabet). Influence of the neural net optoelectronic components on the restoration process is also under study.
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