A nontraditional approach is presented to the approximation of a one-d
imensional function defined on a discrete set of points. The method is
based on the application of an artificial feed-forward neural network
, which realizes expansion of the function considered in orthogonal Ch
ebyshev polynomials and which calculates the expansion coefficients du
ring the network training.