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Proceedings Paper

Neuron network application for interpretation of psychodiagnostic data
Author(s): Aleksei V. Voronov
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Paper 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.

Paper Details

Date Published: 1 April 1998
PDF: 3 pages
Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); doi: 10.1117/12.304987
Show Author Affiliations
Aleksei V. Voronov, Institute of Automatics and Control Processes (Russia)

Published in SPIE Proceedings Vol. 3402:
Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks
Andrei L. Mikaelian, Editor(s)

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