Automatic processing of Z-transform artificial neural networks using parallel programming

Abstract The article describes the process of computing the Z-transform neural network on the basis of input and output signals of analyzed object. Parallel algorithms for performing these calculations are presented and different parallel architectures with different number of processors showing their advantages and limitations are analyzed.