Abstract
A list of candidates for binary supermassive black holes, compiled from available data on optical band variability and emission spectrum shape, has been analysed. An artificial neural network has been constructed to estimate the radiation fluxes at the frequency 240 GHz. For those candidates of binary supermassive black holes for which the network building procedure proved possible, the criterion of possibility to observe the source at the Millimetron Space Observatory was tested. The result of this study is presented as a table of 17 candidates for binary supermassive black holes. Confirmation (or refutation) of the binarity of these objects by means of observational data commited on a space interferometer with parameters similar to those of the Millimetron Space Observatory will be an important milestone in the development of the theory of galaxy formation.
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