Cancellation of dimension of input realization vectors in neural net circuits of signal processing in short-range detection systems

The problems of cancellation of the input realization vectors dimensions in the neural net circuits of signal processing in the short-range detection systems, are considered. Application of the regression and neural-net methods is substantiated; these methods allow to solve the problems under weak conditionality of the data and degeneracy of their probability distribution, as well as when there is no a priori information about mathematical expectation of the informative features.