Browsing by Author "Golenkovskaya, T.I."

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    NEURAL NETWORK TECHNOLOGIES FOR RECOGNITION CHARACTERS
    (National aviation university, 2015-12) Kucherov, D.P.; Ohirko, I.V.; Ohirko, O.I.; Golenkovskaya, T.I.
    The process of neural networks modeling for pattern recognized problem of printed characters consid-ered in this paper. Learning for pattern recognition preparing for a limited set of synthetic characters. It assumes the two-layer neural network training. The convergence of three learning algorithms is stud-ied. They are packet-based adjustment of weights and biases, the gradient, the algorithm based on the computation of the Jacobian function weights. The article provides recommendations for the installa-tion of the initial parameters for a set of tools Neural Networks Toolbox software Matlab. Experimental results for different settings customer networks given that confirms these propositions.