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PROCESS MODELING BASED ON NEURAL NETWORKS
Antipin Alexey Leonidovich1, Zelenina Larisa Ivanovna2
1Northern (Arctic) Federal University named after M.V. Lomonosov, master student, Institute of Math, information and space technologies
2Northern (Arctic) Federal University named after M.V. Lomonosov, Ph.D., associate professor of the Department of Applied Mathematics and Mathematics Institute of High Performance Computing, Information and Space Technologies
1Northern (Arctic) Federal University named after M.V. Lomonosov, master student, Institute of Math, information and space technologies
2Northern (Arctic) Federal University named after M.V. Lomonosov, Ph.D., associate professor of the Department of Applied Mathematics and Mathematics Institute of High Performance Computing, Information and Space Technologies
Abstract
In this paper we consider the use of artificial neural networks for a wide range of tasks, approximation, interpolation, recognition of symbols, images, data compression, forecasting.
Category: 05.00.00 Technical sciences
Article reference:
Process modeling based on neural networks // Modern scientific researches and innovations. 2015. № 7. P. 4 [Electronic journal]. URL: https://web.snauka.ru/en/issues/2015/07/55119
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