The paper presents the possibility of application of frontal neural rietworks, genetic and eiigenic algorithrns in predicting gross domestic product development by designing a prediction model whose accuracy is superior to the model ušed in practice [1]. The learning process is implemented by means of a newly designed algorithm based on the EuSANE algorithm [2].