Identification problems of temperature field parameters in human body by cyclic therapy

The paper deals with modelling of temperature fields created in human body at cyclic therapy and with identification of the field parameters. The paper contain also description of artificial neural network applied to investigations of modeled temperature fields. To train a network, training and testing sets obtained by solving a boundary problem for a partial differential equation of parabolic type under cyclic constraint have been used. The paper shows the results of a computer experiment and points at some possibilities of exploitation of the elaborated software to modelling of phenomena occuring at cyclic therapy.