NEURAL NETWORK ANALYSIS OF PUPILS'' MULTI-LEVEL PSYCHOLOGICAL CHARACTERISTICS
The research involves both computer science and psychology. The authors suggest using artificial neural networks to analyze the data of psychodiagnosis. The neural network analysis can reveal new patterns and evaluate significant nonlinear relationships between psychological characteristics. Such relationships are difficult to analyze by traditional statistical methods. The algorithm was tested on the psychodiagnostic data of pre-adolescents.