Prediction of gross domestic product development by frontal neural networks with learning process on the basis genetic and eugenic algorithms

摘要

The paper presents the possibility of application of frontal neural net- works, genetic and eugenic algorithms in predicting gross domestic product devel- opment by designing a prediction model whose accuracy is superior to the model used in practice [1]. The learning process is implemented by means of a newly designed algorithm based on the EuSANE algorithm [2].