The paper presents the possibility of the design of feed-forward neural networks with pre-processing inputs with learning algoritm Back-propagation in predicing of gross domestic product development. For design models are exploited index of leading economic indicators and diffusive index of leading economic indicators as a representative of leading indexes which enabled predicting break-even points.
The paper presents the possibility of the design of feed-forward neural networks with pre-processing inputs with learning algoritm Back-propagation in predicing of gross domestic product development. For design models are exploited index of leading economic indicators and diffusive index of leading economic indicators as a representative of leading indexes which enabled predicting break-even points.
