Traing algorithm for forecasting multilayer neural network

Abstract

This paper discusses one method of building a forecasting neural network, based on dynamical properties of time series. Is explained its construction on basis of theorem of em¬bedding. For this type of feed-forward multilayer neural network proposed recurrent training methods and its matrix algorithmization, which is very helpful in its program realization.