Parametrical neural network models of classical and nonclassical problems for heat conduction equation


Problems of mathematical modeling for complex systems are considered in the paper in terms of neural network technique. System parameters are given in some variation intervals. Neural network model of nonstationary temperature field inthe case of both classical and non-classical problem statement is cited as an example. Results of neurocomputing for accurate and noise data are given.