Abstract
This paper describes the development of the formalism of functional neuron networks (FN-networks), which is designed to create a range of information systems that perform intelligent computer processing of heterogeneous data from various information sources in automated decision support systems. The problems that affect the rate of finding solutions are considered. To increase this rate, it is recommended to use an archive of previously found solutions. We propose a method for generalizing the solutions, which makes it possible to reduce the archive size and expand the applicability of the found generalizations to a wider class of possible problems.
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