1 April 1998 Neuron network application for interpretation of psychodiagnostic data
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Abstract
Data of psychodiagnostics of personal relations have been classified using neuron networks. Neuron networks were educated on model and empirical conceptions of psychological images of people groups. The results are discussed with the use of data on importance of minimum efficiency functions and magnitudes of antigradients by input signals. In the model conception, not typical objects are easily distinguished. Accentuations predominant in a group have been determined.
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Aleksei V. Voronov, Aleksei V. Voronov, } "Neuron network application for interpretation of psychodiagnostic data", Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); doi: 10.1117/12.304987; https://doi.org/10.1117/12.304987
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