SELECTIVE EVALUATION OF THE PSYCHODIAGNOSTIC DATA BY THE NEURAL NETWORK
The neural networks for the psychodiagnostic data processing are proposed. The network type is «Feed-forward backprop». The structure of the neural network is directly connected with the being analyzed data, and its training is made with their use. The networks training and its work testing are performed by the example of younger teenager's psychodiagnostic data. It is shown, that the proposed algorithm can effectively allocate psychological traits that are important to assess the gender differences of the children.