Artem M. Lodyagin

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Neural networks for years have been used in various applied mathematical algorithms. Modern complex problems have big dimensionality and huge number of free variables. In most cases they require hardware acceleration or a cluster to make the computations fast enough. There are too many ways how the final, enterprise system can be built by combining existing(More)
Presented in this paper is a neural network method used for recognition of spherical bodies set grain-size distribution using a data taken from envelope surface of a given set. Development was carried out in accordance with principles designed for neurocomputer-based measurement devices. These principles concern measurement devices featured by complicated(More)
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