Doctor of Tech. Sc., prof.
department "Building construction and control systems,"
Honored Worker of Science and Technology of Russia,
International Academy of Higher Education,
Honored inventor of Russia
Institute of Civil Engineering
Siberian Federal University, Krasnoyarsk
department "Building construction and control systems,"
Honored Worker of Science and Technology of Russia,
International Academy of Higher Education,
Honored inventor of Russia
Institute of Civil Engineering
Siberian Federal University, Krasnoyarsk
Analyzed is traditional cybernetic postulate in connexion with possibilities of neural network technology, enabling to finish teaching a structure on the bases of stepped functioning of new information, i.e. perfection of initial structure in decision process, that enables to define more precisely the decision, and to deepen the prognosis.
Key words: cybernetic postulate, neural network technology, neuroprogramming, neurocontrol, stepped functioning of new information.
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