Artificial neural networks of GRNN type in prediction problems

Examines the use of artificial feedforward neural networks and GRNN type networks in solving prediction problems. Exemplified by student research, the authors conducted the study on the choice of the type of neural network that is most suitable for the solution of such problems. The article desctibes the set-up and the training of generalized regression neural network of and feedforward neural network with the use of MATLAB. Both types have been compared. The authors conducted the experiment of predicting the major parameters of student research activities. The obtained data have been compared with actual university data.