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Meshless methods and their implementation in the radial-basis neural networks

Keywords:

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.
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