V. I. Gorbachenko, E. V. Artyukhina
Meshless methods for solving the boundary problems of mathematical physics are analysed. The gradient algorithms of teaching the scales of radial-basis neural network are worked out. The experimental research of these algorithms is carried out. It is shown that the offered algorithm on the basis of conjugate gradients has a higher computational efficiency for this class of problems.