FIELD: information technology.
SUBSTANCE: composite signal, consisting of a useful signal, summed with a first part of pre-generated low-power noise and a similar second part of said noise, is transmitted to a multilayer recurrent neural network with control synapses as a signal which is pre-decomposed into components, with each component converted to a sequence of unit characters with repetition frequency as a predefined function of the amplitude of the component. The composite signal is presented in form of successive groups of unit characters. When transmitting groups of unit characters from layer to layer, unit characters relating to the useful signal are copied from the signal-noise groups into corresponding noise groups. Copies of the signal-noise groups of unit characters are formed from the noise groups and said copies are processed based on change in shape of cross-sections of diverging unit characters and rotations of said characters around directions of transmission thereof based on the current states of the layers.
EFFECT: high depth and intelligence of processing information.
7 dwg
