The modern paradigm of evolutionary neural network economic and mathematical modeling

The methods of evolutional forming and training of artificial neural network are considered in the work. The methods are used for economic and mathematical modeling of dynamic processes in complex economic system. It shown that for present job class the most perspective are methods with indirect coding of model structure, particularly the method with fixed genome dimension. The research results can be applied in decision support systems on an enterprise scale