FORECASTING OF FINANCIAL INDICATORS ON THE BASIS OF THE DEVICE OF NEURAL NETWORKS
The problem of forecasting on the basis of artificial neural networks (Ann), detailed IRB on the basis of a backward errors expansion of popular way of learning multilayer ins), and also an analytical review of the application of Ann in the financial sector. The considered methods of currency forecasting, determined approaches to the prediction of the U.S. dollar relative to the Russian rouble (USD/RUB). Describes the experimental application of artificial neural networks to predict the rate of USD/RUB.