Neural network simulator of non-stationary environment in adaptive data transmission system

A new method of optimization of the data transmission channel is described that is based on the use of a neural network simulator of a nonstationary physical medium. Experiments showed that, in cases of a low signal to noise ratio, the proposed method allows the reception error probability to be reduced to a level corresponding to the binary phase shift keying.